1. Introduction
In the last two decades, bridge monitoring by terrestrial interferometric radar has become a relatively popular technique [
1,
2,
3,
4,
5]. In a typical installation, the radar is positioned under the deck and detects the displacement of the scatter points of the bridge. The displacement is retrieved by radar interferometry, a well-known technique used in different contexts [
6,
7].
Since a radar can only detect the displacement component along the range direction, the effective movement is retrieved by supposing the displacement in the vertical direction. This assumption is often reasonable but is potentially incorrect when the detected scatter point is far from the so-called “neutral axis” of the bridge.
Figure 1 pictorially shows how the effective displacement can have a vectorial direction that differs considerably from the vertical one. The detection of a single component can be misleading as experimentally shown by Dei et al. in 2013 [
8].
Recently, several authors proposed radar techniques for detecting two or three components. Monti-Guarnieri et al. [
9] operated two radars simultaneously to detect the displacement vector of corner reflectors fixed to a pipe. The recent introduction of multiple input, multiple output (MIMO) for spaceborne radar [
10], for ground-based radar [
11,
12,
13], and in biomedical contexts [
14] has prompted the creation of new solutions. Deng et al. [
15] deployed three ground-based multiple input, multiple output (GB-MIMO) radar systems to measure 3D deformation of a movable corner reflector. All of these approaches have evident drawbacks in terms of complexity of the installation.
Pieraccini et al. [
16,
17,
18] proposed a radar technique that uses a transponder in a bistatic configuration for detecting a further component of the displacement of a corner reflector. However, this approach can pose two issues: (1) the bistatic image can differ notably from the monostatic image (so it can be difficult to recognize the same physical targets in the two images), and (2) the bistatic angle is half of the angle between radar and transponder, which can lead to geometric configurations that are hardly deployable in the field.
In 2021, Miccinesi et al. [
19] proposed a multi-monostatic radar for bridge monitoring using a MIMO radar: the two channels of the MIMO radar were located in different positions in the same side of the river. This method allows for simple measurement of two components of displacement, but the baseline (distance between the two MIMO channels) was not enough for long bridges.
In this article, the authors propose an advanced technique based on [
19]. The two channels are in the opposite banks of the river, and they are connected through a radio link as shown in
Figure 2.
2. Materials and Methods
2.1. Methods
The proposed technique is schematically shown in
Figure 3. The radar is connected to an additional interferometric channel through a radio link.
The transponder is basically composed of a transmitting channel and a receiving channel. Each channel is composed of a horn antenna in vertical polarization and an amplifier system.
The radio link is composed of two transceiver units connected to the radar and the transponder. The transceiver unit is composed of two cross-polarized horn antennas and an amplifier system. The cross-polarization increases the isolation between the two channels to prevent possible self-oscillation.
Figure 4 shows the geometry used for retrieving two components of displacement. The target is located between the two measurement points (radar and transponder). The two measurement points are able to detect two different components of displacement. It is possible to move from the radar/transponder coordinate system to the Euclidean coordinate system by using the following relationship:
where
and
are the displacement components along the y and z axes, and
are the displacement measured by the radar and by the transponder. The displacement can be measured using the interferometric phase,
:
In order to perform a preliminary assessment of the theoretical uncertainty, we can consider the following equation:
where
and
are the measurement uncertainty on
and
, and
and
are the uncertainty of the yz components. The abs operation of
is performed element by element. Equation (3) can be calculated from Equation (1) and by using the linear properties of matrix calculus. Furthermore, we suppose the radar and the transponder operate with the same signal-to-noise ratio, i.e.,
. This is not always true, but it is a reasonable assumption for a preliminary assessment of uncertainty.
Figure 5 shows the calculated
and the
as functions of y. The radar is located in
, the transponder in
, and the target at
,
. The uncertainty along y (
) is maximum close to the radar and transponder and minimum in the middle of the bridge. Conversely, the uncertainty along z (
) is maximum in the middle of the bridge and minimum close to the pillars.
2.2. Power Budget of Radio Link
The power budget of radio link is a key point of this method. Indeed, the signal-to-noise ratio of the transponder has to be almost the same as that of the radar. Generally, the power budget can be estimated combining radar equation, free-space geometrical attenuation, and RF cables losses.
In reference to
Figure 3, the power budget (PB) can be estimated as follows:
where
and
are the received power of the transponder and radar, respectively;
is the transmitting power;
is the cumulative RF cable attenuation;
is the antenna gain (supposed almost equal for all antennas);
is the wavelength; and
and
are the radar cross-sections. If the distance
is equal to the distance
and the radar cross-sections are supposed similar, the PB strongly depends on the radio link distance (
).
The amplifiers of the transceivers and transponder must compensate the PB to obtain almost the same value of received power in the two channels.
2.3. Equipment
The radar used is a modified version of IBIS-FM MIMO [
12], developed by IDS Georadar, Pisa, Italy.
Figure 6a shows the IBIS-FM MIMO with four antennas connected. This radar provides a continuous wave frequency modulated signal with central frequency of
and maximum bandwidth of
. The transmitting power is about
. The radar has two TX channels and two RX channels that are acquired sequentially. The acquisition frequency depends on the radar parameters (unambiguous range, range resolution, etc.).
The antennas used are standard horn antennas with the same gain of about 15 dB.
An example transponder is shown in
Figure 6b. The amplifiers are ZX60-183-A, produced by Mini Circuits, New York, USA. The gain of these amplifiers is about 30 dB.
3. Results
The multi-monostatic interferometric radar with radio link was tested in controlled scenarios and in the case study of Indiano Bridge, Florence, Italy.
In controlled scenarios, we tested the system to verify the multi-monostatic method summarized in Equation (1) and to verify the power budget in Equation (4). Equations (1) and (4) were tested separately.
3.1. Test of Multi-Monostatic Interferometric Radar (without Radio Link)
Figure 7 shows the setup and the block scheme used to verify the working principle (i.e., Equation (1)). The target was a metallic bar connected to the roof of the building at 2.61 m height in respect to the radar. The bar could oscillate freely along the vertical axis. Two identical corner reflectors were fixed at the bar extremity. The radar was in
, the target was in
, and the transponder was in
.
The power budget of the system can be calculated according to
Figure 7b. In this case, we used two amplifiers with gain of 30 dB. The signal of the transponder was almost equal to the signal of the radar (
).
The radar image is shown in
Figure 8. The targets were in the expected positions both for the radar and transponder. The signal of transponder is
higher than that of the radar. This discrepancy is not critical and could be due to misalignment of the radar or differences in target reflectivity. The interferometry was performed using the interferometric phase of the peaks.
Figure 9 shows the displacements measured by the radar and the transponder.
The two signals in
Figure 9 are in phase, and they appear very similar. Using Equation (1), it is possible to convert the displacements along radar and transponder directions into the displacement vector.
Figure 10 shows the two components retrieved using Equation (1). The main displacement is along the z axis. There is a residual displacement along the y axis with maximum elongation of about 0.5 mm and standard deviation of 0.11 mm. This displacement along y is considerably lower than the displacement along z (20 mm).
Figure 11 shows the natural frequency retrieved by calculating the Fourier transform of the zy components. The natural frequency of the target along z is 2.093 Hz. The residual displacement along y has the same frequency (meaning that the y-displacement is not given by a different vibration mode); therefore, this signal can be considered as a residual artefact of the geometrical projection.
3.2. Test of Multi-Monostatic Interferometric Radar with Radio Link
The power level of the radio link was tested in a scaled scenario as shown in
Figure 12a. A target was located between the radar and transponder. The radio link was located on the right in respect to the radar, and it was
long.
The power budget evaluated using Equation (4), with reference to
Figure 12b, was about
without amplifiers. We used seven amplifiers of 30 dB gain to compensate the PB. The resulting power budget was about
.
Figure 13 shows the image obtained using the radar and transponder. The signal of the transponder was about 14 dB larger than the signal of the radar. This value almost corresponds to the PB estimated using Equation (4) and the scheme of
Figure 12b.
3.3. Case Study—Indiano Bridge, Florence, Italy
The multi-monostatic interferometric radar with radio link was tested at Indiano Bridge, Florence, Italy. This bridge is an earth-anchored, cable-stayed bridge, and it was built between 1972 and 1978.
The radar was installed on the right bank of the bridge as shown in
Figure 14. The radio link was 141.7 m long. The distance of radio link was evaluated using a corner reflector located with the radio link transceiver on the bank of the transponder. The block scheme used was almost the same as in
Figure 12b with two more amplifiers on the receiving channel.
During the test, the bridge was subjected only to vehicular traffic.
The radar was located in
, and the transponder was in
. The bridge was 14.40 m high in respect to the radar. In order to identify the target position along the y axis, the radar and the transponder images were focused along the bridge span as described in [
17].
Figure 15 shows the focused image. For the sake of conciseness, we report only the displacements of the targets at
and at
, but the method can be applied to all peaks between 70 m to 120 m.
The displacements measured by the radar and the transponder for the two targets are reported in
Figure 16.
The displacement components retrieved using Equation (1) are shown in
Figure 17. Most of the displacement is along z, even if it is possible to detect y components during the impulsive stimulus (for example, at
).
As a further application of this technique, we retrieved the direction of the displacement vector.
Figure 18a,b show the retrieved direction of the two targets for the spotlighted stimulus (
Figure 17). The displacement direction of the target at y = 85.9 m was inclined by an angle
with respect to the y axis. The displacement direction of the target at y = 99 m was at
.
4. Conclusions
In this paper, a multi-monostatic radar with radio link was presented. The authors verified in a controlled environment both the methodology described in
Section 2.1 and the power budget of the radio link described in
Section 2.2.
The method was verified using a horizontal oscillating bar without the radio link. The system was able to detect vertical and horizonal displacements. The main component was along the vertical axis, although there was a small horizontal residual component (probably a geometrical projection artifact).
The power budget of the radio link was evaluated using Equation (4) for each case, and the power loss was compensated with a suitable number of amplifiers.
The multi-monostatic interferometric radar was tested in a case study with a radio link of about 140 m long. The case study was the Indiano Bridge in Florence, Italy. The equipment was able to detect the displacement of several targets. The number of targets detected by the radar and by the transponder was not equal (the radar detected more targets than the transponder). This fact is probably due to a misalignment of the radio link, which caused power losses that were larger than we expected. In a practical implementation of this technique, this problem could be solved using a power detector for optimization of the alignment of the radio link.
Another point worth discussing for a practical implementation of this technique is the maximum length of the bridge. The radar was designed to operate up to 5 km, but in this specific application, we must consider the ratio between length and height of the bridge. As rule of thumb, the length has to be no larger than 20/30 times the height in order to have a reasonable component of the displacement along the view direction.
Author Contributions
Conceptualization, M.P. and L.M.; methodology, L.M.; software, L.M.; validation, L.M.; formal analysis, L.M.; investigation, L.M., O.A., A.B. and T.C.; resources, M.P.; data curation, L.M.; writing—original draft preparation, L.M.; writing—review and editing, A.B.; visualization, L.M.; supervision, M.P.; project administration, M.P.; funding acquisition, M.P. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data are available upon request.
Conflicts of Interest
The authors declare no conflict of interest.
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Figure 1.
The blue arrows are the displacements of the points of the neutral axis (the dotted lines in the figure) of the bridge; the red arrows are the displacements of the points far from the neutral axis (the figure and the displacements are not to scale).
Figure 1.
The blue arrows are the displacements of the points of the neutral axis (the dotted lines in the figure) of the bridge; the red arrows are the displacements of the points far from the neutral axis (the figure and the displacements are not to scale).
Figure 2.
Working principle of multi-monostatic interferometric radar with radio link (the figure and the displacements are not in scale).
Figure 2.
Working principle of multi-monostatic interferometric radar with radio link (the figure and the displacements are not in scale).
Figure 3.
Scheme of a working principle of multi-monostatic interferometric radar with radio link (view form above).
Figure 3.
Scheme of a working principle of multi-monostatic interferometric radar with radio link (view form above).
Figure 4.
Measurement geometry for retrieving the yz components of displacement (side view).
Figure 4.
Measurement geometry for retrieving the yz components of displacement (side view).
Figure 5.
Theoretical uncertainty calculated using Equation (3).
Figure 5.
Theoretical uncertainty calculated using Equation (3).
Figure 6.
Pictures of the equipment used for testing of the multi-monostatic interferometric radar with radio link: (
a) the IBIS-FM MIMO radar [
12], (
b) an example of transponder.
Figure 6.
Pictures of the equipment used for testing of the multi-monostatic interferometric radar with radio link: (
a) the IBIS-FM MIMO radar [
12], (
b) an example of transponder.
Figure 7.
Experimental setup for verification of Equation (1): (a) picture of experimental setup, (b) block scheme used.
Figure 7.
Experimental setup for verification of Equation (1): (a) picture of experimental setup, (b) block scheme used.
Figure 8.
Radar image of the two corner reflectors fixed on the metallic bar.
Figure 8.
Radar image of the two corner reflectors fixed on the metallic bar.
Figure 9.
Displacement measured by the radar and the transponder.
Figure 9.
Displacement measured by the radar and the transponder.
Figure 10.
Displacement components retrieved using Equation (1).
Figure 10.
Displacement components retrieved using Equation (1).
Figure 11.
Natural frequency of target in
Figure 7.
Figure 11.
Natural frequency of target in
Figure 7.
Figure 12.
Experimental setup for verification of Equation (4): (a) picture of experimental setup, (b) block scheme used.
Figure 12.
Experimental setup for verification of Equation (4): (a) picture of experimental setup, (b) block scheme used.
Figure 13.
Amplitude image registered by radar and by transponder using the radio link.
Figure 13.
Amplitude image registered by radar and by transponder using the radio link.
Figure 14.
Experimental setup of Indiano Bridge test: (a) picture of Indiano Bridge, (b) experimental setup.
Figure 14.
Experimental setup of Indiano Bridge test: (a) picture of Indiano Bridge, (b) experimental setup.
Figure 15.
Radar and transponder images focused on bridge span.
Figure 15.
Radar and transponder images focused on bridge span.
Figure 16.
Displacement measured by the radar and the transponder for target at y = 85.9 m (a) and at y = 99 m (b).
Figure 16.
Displacement measured by the radar and the transponder for target at y = 85.9 m (a) and at y = 99 m (b).
Figure 17.
Displacement components of target at y = 85.9 m (a) and at y = 99 m (b).
Figure 17.
Displacement components of target at y = 85.9 m (a) and at y = 99 m (b).
Figure 18.
Displacement axis of the target at y = 85.9 m (a) and of the target at y = 99 m (b).
Figure 18.
Displacement axis of the target at y = 85.9 m (a) and of the target at y = 99 m (b).
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