1. Introduction
One of the most critical parameters in terms of flight safety is the knowledge of the actual (radio) altitude of the aircraft above the surrounding terrain. This information is obtained from radio altimeters (
ALT), which have been used in aviation since 1938 [
1,
2]. The principle of radio wave reflection from the earth’s surface enabled very accurate altitude measurements and much higher accuracy than measuring altitude with barometric altimeters or
GNSS (geometric altitude vs. real altitude). Information about the radio altitude of the vehicle is critical not only for pilots in the approach and take-off phase in all meteorological conditions (
Figure 1) but also for several avionics systems such as automatic flight control systems (Automatic Flight Guidance and Control Systems, Stick pusher/shaker, Flight Director, Thrust reverse, Autothrottle, Flight Controls, Envelope Protection Systems), anticollision systems (Enhanced Ground Proximity Warning Systems—EGPWS, Traffic Collision Avoidance Systems—
TCAS, Windshear detection systems, Tail strike prevention system), and assistance aircraft systems (Primary Flight Display of height above ground, Take-off guidance systems, Engine and wing anti-ice systems) [
2,
3]. A radio altimeter (
ALT) failure or malfunction can result in a disaster [
3,
4,
5].
Current aviation radio altimeters (
ALT) most often operate with frequency-modulated continuous-wave (
FMCW) frequency modulation with an operating frequency in the 4.2–4.4 GHz band [
1,
2,
3]. The principle of operation of
FMCW radio altimeters has been used without significant changes for more than 50 years. The modernization of
FMCW ALT consisted mainly of the addition of microprocessor technology and signal filtering, but the basic principle remained unchanged [
1,
2]. We can state that due to the long-term reliability and trouble-free operation of
ALT, no significant attention was paid to these devices. The change did not occur indirectly until the last decade with the introduction of various environmental measures to reduce fossil fuel consumption. One way to save fuel is to reduce the weight of aircraft. A significant part of the aircraft’s weight consists of electrical conductors (power or signal). In 2015, a new concept of communication of avionics devices using wireless transmission (Wireless Avionics Intra Communication—
WAIC) was introduced, from which a significant reduction in cabling weight is expected. However, this communication protocol operates in the same band as radio altimeters [
6].
A more significant problem is the introduction of 5G communication technology (3.4–3.98 GHz), which, although it does not operate directly in the band reserved for ALT (4.2–4.4 GHz), causes interference based on various reports and observations. The 5G network is open for licensing from December 2020. This issue is currently the subject of research and more studies, and no specific conclusions have yet been drawn, only recommendations [
6,
7]. However, the results presented in the report [
3] reveal a major risk that 5G telecommunications systems will cause interference to onboard radar altimeters on all types of civil aircraft (commercial airplanes, business jets, regional aircraft, and general aviation airplanes and both transport and general aviation helicopters. Further work, like [
6], shows that there is no interference of 5G technology with radio altimeters, which can be confusing. The implementation of 5G services in individual countries, different industry standards or regional government regulations may change in the future. This can lead to the change of parameters in such a way that they can start to cause interference (even if previous operation was without problems) to radio altimeters or, the opposite, stop causing previously observed interference. This problem must be examined with state-of-the-art regulations. In addition, testing the adverse effects of 5G on ALT in real conditions is very demanding and even risky [
8]. Although the method of measurement of ALT accuracy presented in this article is focused on evaluating the methodological error Δ
H, it could be a suitable alternative for this area of research. The measurement chain can be supplemented with sources of 5G signals. The direct radio altitude reading, together with methodological error evaluation (with 5G signal sources turned on and off), can help to investigate if the radio altitude measurement is affected or not.
Usually, ALT is used for measurements of altitude up to 750 m above the terrain (the ground). For higher altitude and flight level measurements, barometric altimeters, operating on a different principle of operation, are used. Radio altimeters have many advantages, but they are associated with technical limitations related to the accuracy of altitude measurement. Current
ALT types most often measure height with an accuracy of ±0.30 m to ±0.75 m. This value of measurement inaccuracy is related to the error of the height measurement method itself, which uses frequency modulation. This is the so-called methodological error of
ALT measurement (Δ
H) [
9]. The motivation for creating the presented research was the fact that the theoretical values of the accuracy of the height of the measurement above the ground have been given as final values for the relevant type of
ALT. Nevertheless, the errors resulting from the design and circuit solution of
ALT must be added to the determined value of the methodological error of height measurement [
9]. It is also necessary to consider the purpose of using the device—installation on a dynamically moving object. In such a case, these are mainly Doppler effect errors, the difference in the frequency of the difference signal, the fluctuation of the received signal, the flight dynamics of the aircraft, the delay of the
ALT circuits and the parasitic amplitude modulation of the
HF signal (
Figure 1).
The effect of these errors can be seen in some flight modes or only over a specific type of land surface. In this case, the reported values of height measurement accuracy are numerically lower than their theoretical value (from ±0.30 m to ±0.75 m), and some long-term used
ALTs show an unstable value of the methodological error. For this reason, the operation and stability of the function of the additional output signal processing circuits are difficult to evaluate. All this has a negative effect on determining the value of the methodological error and, consequently, on the height measurement accuracy. We know from practice that, at present, it is not possible to evaluate a methodological error in the standard conditions of the operator [
10,
11,
12,
13].
The FMCW ALT method error is related to the value of the used frequency lift Δf. The range of the frequency lift (Δf) is related to the carrier frequency value (f0). Based on the above conditions, it can be stated that the first types of ALT had a methodological error ΔH = 2.2 m at Δf = 17.0 MHz; f0 = 444.0 MHz. Using newer technologies, the ALT method error was reduced to ΔH = 1.0 m at Δf = 25.0 MHz; f0 = 2.0 GHz. Currently used ALTs have a methodological error ΔH = 0.75 m at Δf = 50.0 MHz; f0 = 4.4 GHz. These values of methodological error correspond to the respective values of ALT height measurement accuracies in the range ±ΔH = ±2.2 m; ±1.5 m; ±0.75 m.
This article aims to present a new method of experimental measurement of ALT methodological error, which is feasible in any laboratory conditions and allows consideration of other influences on the overall accuracy of radio height measurement using ALT.
3. Analysis of Results of Measurement of Methodological Error
The results of measuring the method error of the radio altimeter by the proposed new method can be seen in
Figure 10. The article presents three types of measurements that differ in the speed and direction of antenna movement.
In terms of speed, the highest speed was used in the first measurement (0.56
). In the second measurement, the speed was medium, i.e., 0.28
, and in the third measurement, the speed was the lowest, 0.14
. The definition of the speed of movement of the
ALT antennas, namely
high,
medium and
low speed, is chosen to take into account the dimensions and technical capabilities of the laboratory. In terms of the direction of movement of the antennas, this was realized by reducing the height (distance) by bringing the antennas closer to the polarizing panel [
22,
23,
24]. Or, conversely, by increasing the height (distance) by moving the antennas away from the polarizing panel. Considering the laboratory’s length (7 m) and the necessary technical equipment, it was possible to measure the height (distance) in the range of 5 m.
Figure 10a shows the measurement result when the distance (height) was reduced (simulation of descent) in the range from 20 m to 15 m. In
Figure 10b the result of the measurement when the distance (height) was increasing (simulation of the climb) in the range from 10 m to 15 m. In the performed measurements, the minimum height is 15 m in
Figure 10a and 10 m in
Figure 10b, which is the so-called residual height.
The residual height is formed by the length of the coaxial cables of the antennas and the minimum distance of the antennas from the polarizing panel, at which the measurement always stopped. The reduction of the value of the residual height from 15 m to 10 m was realized by changing the length of the coaxial cables of the antennas.
The representation of both records in
Figure 10 represents the actual measurement results, and they are for illustrative purposes. They show the difference in measurement at two different speeds and at two different directions of antenna movement. All three presented measurements were performed on one and the same
FMCW radio altimeter type
RV-
5.
When processing the differential signal of the radio altimeter as information about the measured altitude, the following steps are performed during processing:
harmonic difference signal amplification and frequency filtering;
amplitude trimming and shaping rectangular impulses from the difference signal;
deriving edges and generating impulses from the rectangular shape of the difference signal;
detecting and removing single polarity impulses;
impulse integration (voltage shaping), which is proportional to the measured height.
For graphical recording and visualization of the method error of the radio altimeter by measurement, it was necessary to use a detected pulse signal of one polarity, the number of impulses of which corresponds to the difference frequency. For its optimal display, it was necessary to evaluate the number of impulses (generated as described above) during one modulation period. In the presented new method, the average value of the number of impulses in one period was evaluated from the measurement of the number of impulses in ten periods. For this reason, each measurement output lasted 10 modulation periods—as measuring the number of impulses in only one period did not work. This fact affected the quality of the methodological error display depending on the rate of dynamic height change. This phenomenon can be compared between
Figure 10a,b.
Figure 11 shows one of the results of measuring the methodological error at a higher rate (speed), i.e., 0.56
. It is evaluated as the average of the value of 10
.
In each period, the number of impulses is represented by an integer. However, when measuring the number of impulses as an average value from ten periods, the result may not be an integer. The value of the integer always changes between two heights
. In
Figure 11, the transitions are represented by red dots. When recording the number of impulses
N, their numerical value is proportional to the measured height
H. In the height range, towards the higher height
, the number of impulses every 9.4 mm changes in the range
. In total, the number
N can be changed up to eighty times in the
range. In the height range towards the lower height
, the number of impulses varies in the range
( These changes in the value of the measured height
in the range
represent a methodological error of
ALT. Therefore, the height measurement is not continuous but discrete, in the range of
.
When measuring altitude, the radio altimeter evaluates the total number of impulses as a difference frequency proportional to the measured altitude. After integration, the difference frequency is transformed into a voltage proportional to the height. This proportional voltage is fed to the altitude indicator, which serves as primary information for the pilot of the aircraft or helicopter. And this form of DC voltage is intended for other systems (autopilot, anti-collision system, etc.). Since the number of impulses is evaluated within the measurement of the methodological error, it is possible to combine this data with the difference frequency and the measured height by means of a simple mathematical transformation.
For each radio altimeter, it is possible, based on the parameter—the total frequency lift , to calculate its methodological error according to the mathematical relation (7). In the case of the measured radio altimeter, this is the mentioned value of 0.75 m.
When each measured value of the number of impulses
N per modulation period
is multiplied by the modulation frequency
, we get the value of the difference frequency
.
For example, at
and
is the
. In this way, it is possible to determine the scale of the vertical—frequency axis of the graph. In general, the basic equation of radio altimeters is defined for
ALT, which defines the linear relationship between the measured height
and the difference frequency
by means of the proportionality constant
.
For the ALT on which the measurement was performed, the proportionality constant has the value of . Using the proportionality constant, it is possible to determine the measured height from the difference frequency. For example, for , the is equal to . In this way, it is possible to determine the horizontal scale, i.e., the height axis of the graph.
The quality and accuracy of recording the methodological error of the radio altimeter depend, among other things, on the height sensing speed, i.e., on the speed of movement of the antennas during the measurement.
At a high measurement speed of
, the ALT antennas pass the critical height
in
. In the time range of 1.334 s the 200 modulation periods will pass. When determining the average value of the number of impulses N in each of the ten modulation periods, a small number (approximately 20) of measurements will be recorded in the altitude range
at the time
. An indistinct graphical representation of the methodological error due to the small number of recorded measurement results can be seen in
Figure 10a and
Figure 11.
At lower speeds, the number of measurement records is larger, and the graphical representation of the methodological error is much better. At a mean speed of
, the antennas pass the critical altitude
in
, which represents
. In this way, a larger number of measurements will be recorded in the
range—approximately 40 measurements (
Figure 10b). At a low speed of
, the antennas pass the critical height
in
, which is
. In this way, a large number of measurements will be recorded in the
range—of approximately 80 (
Figure 12).
From the graphical waveforms, it is also possible to evaluate the linearity of the height dependence measurement by simply translating the stepped line with a straight line. The linearity of the altitude measurement process is an important indicator of the accuracy of the altitude measurement (for example in a scenario where the aircraft is low above the runway at the take-off stage or the final approach). The second evaluated parameter is the value of the critical height ΔH when measuring the same radio altimeter for determining the basic parameter—methodological error.
By evaluating these two parameters of the radio altimeter (
linearity of the course and the value of the
methodological error), the measurement accuracy, technical condition, and quality of the radio altimeter can be evaluated. Both parameters can be concentrated in one graph (
Figure 11).
With the help of graphical evaluation, it is possible to register any inaccuracy in the setting of its parameters or imperfections in the operation of any circuit. If the radio altimeter shows even a slight discrepancy with the required parameters, its course of the increase of the difference frequency will not be linear, and in terms of methodological error, it would not be symmetric. In this sophisticated but simple way, it is possible to compare qualitative indicators not only of one type of radio altimeter but also different types of radio altimeters with each other.
All control measurements were performed on the same type of radio altimeter RV-5 but on four different units. The radio altimeters were controlled following manufacturer technical notes and with original control equipment KPRV5. After the checkup, we performed a total of 5 control measurements for each unit by this new method for evaluation of methodological error (total of 20 measurements). The results showed a difference of methodological error of 1.5% between the four units (
Table 2).
The main objective for developing and evaluating this method was based on the fact that the author’s team has been working on this issue (improvement of accuracy measurement of radio altimeter) for over 20 years. Some flight tests and later also exterior measurements were carried out earlier. As real flight tests are costly and therefore not feasible in conventional conditions, the authors tested the simulation of dynamic altitude change in several ways, by real measurements on aircraft and subsequently by measurements outdoors—in outside conditions. The determining of methodological error from this measurement is shown on
Figure 13.
The measuring and recording apparatus, together with the radio altimeter and the bracket for mounting the antennas, were installed on the car, which was moved towards and backwards to the reflecting panel. This method required extensive preparations and depended on external meteorological conditions and a clutter-free environment. That led to the need to move experimental measurements from the exterior to the interior. In the interior (in buildings and hangars), there was an insurmountable problem—unwanted/parasitic reflections from the surroundings (walls, objects, the earth’s surface), which overwhelm the evaluation circuits of the radio altimeter so that it is unable to measure the radio altitude. To suppress these unwanted reflections, the authors designed a special reflection panel. This reflection panel with the measurement method was successfully patented after extensive testing.
As part of testing the new method, we performed a series of indoor and outdoor measurements. As part of the evaluation (flight measurements, outside measurements, and laboratory measurements), we concluded that the course of the methodological error has a constant value in the entire measured range (from 0 m to 750 m). This means, that the value of methodological error is the same at any measured radio altitude, so it is not necessary to perform measurement in whole radio altimeter measurement range, i.e., from 0 m to 750 m. In terms of usage of radio altimeters, we are focusing on its measurement accuracy mostly in small altitudes. As stated in the introduction, radio altitude information is crucial for the entire group of aviation systems. If we choose the most critical function, it is information about the actual altitude above the runway for the automatic landing system and the altitude above terrain for anti-collision systems. At that exact moment, the height is measured in the mentioned range of 0–20 m (decision height), which is crucial for the pilot. This is also why radar altimeter indicators are scaled nonlinear; they are more precise in the first 50 m range, usually with the measurement step by 0.3–1 m (1–3.2 ft). In the case of flight at a higher altitude, another type of flight altitude measurement is used, like a barometric altimeter or GPS altitude, which works on a different principle, and is used as a matter of priority. This is the main reason why all measurements were done in the range from 0 m to 30 m.
Simulating a dynamic change in height is also possible using a dedicated and commercially available test apparatus, such as the Aeroflex ALT 8000. This device can be connected to an existing onboard radio altimeter installation and measure receiver sensitivity and parameter stability (carrier frequency, modulation frequency) and verify exact values of indicated height for onboard systems such as autoland, flare, decision height, etc. However, the purchase price of such a device is relatively high. Furthermore, it does not consider all the effects mentioned above on the accuracy of radio height measurement and does not allow the determination of the exact value of the methodological error. In addition, it connects to the existing installation on the aircraft, which requires operator access directly to the aircraft, which we find to be a disadvantage of this method.
4. Conclusions
Radio altimeters are used for precise measurement of the clearance height of aircraft over terrain or obstacles. The typical accuracy of this measurement is from ±0.30 m to ±0.75 m, and the parameter with the most influence over the accuracy of height measurement is the methodological error. Manufacturers usually provide the value of this error, and it is no longer examined over the lifetime of any radio altimeter. However, the practice shows that in some scenarios, this value can change in time and affects height measurement accuracy. As the radio altimeter is the only onboard sensor which provides crucial information on exact clearance height for entire crucial aircraft systems, precise measurement is mandatory.
To clarify that radio altimeter parameters are in corresponding tolerances, the authors proposed a new method for determining the value of the methodological error and its effect on the resulting error of measurement of the radio altitude. The proposed method is laboratory-based and can simulate conditions like in operation on real aircraft. In terms of qualitative assessment, this method, as it simulates the operation of the radar altimeter together with most possible inside and outside factors, can detect the generation of random and systemic interfering signals that may have a negative effect on the accuracy of height measurement. The output of measurement—the numerical value of the methodological error—can be imagined as something like a “snapshot” of the current device and statistically examined in time if parameters are degraded.
The radio altimeter methodological error, which is directly related to the height measurement accuracy, is usually determined theoretically, as it is based on its basic electrical parameters. Subsequently, it is assumed that the radio altimeter has its accuracy determined this way throughout its technical life. The presented method can evaluate the technical condition of the radio altimeter in terms of height measurement accuracy at any stage of its technical life. This has not yet been possible in the aviation industry (with an aircraft operator). The presented method is simple and can be implemented in any laboratory environment without high additional costs. It could stimulate the interest of aircraft operators in using the study to evaluate the impact of long-term operation of radio altimeters on the accuracy of altitude measurements. The results of measurements presented in this work suggest that the implementation of such a study would be possible in practice. With the help of graphical evaluation, it is possible to register any inaccuracy in the setting of its parameters or imperfections in the operation of any circuit of a radio altimeter. Suppose the radio altimeter shows even a slight discrepancy with the required parameters. In that case, the course of the increase of the difference frequency will not be linear, and in terms of methodological error, it would not be symmetric. The quality and accuracy of recording the methodological error of the radio altimeter ΔH depend, among other things, on the height sensing speed, i.e., on the speed of movement of the antennas during the measurement.
By adding other elements of the measuring chain, this method can also be suitable for testing actual problems of radio altitude measurements affected by new technologies, i.e., 5G interference.