The invention relates to a synthetic aperture radar and in particular a ground based radar employed for remote sensing of target displacements.
The interferometric Ground Based Synthetic Aperture Radar (SAR) (GBSAR: Ground Based Synthetic Aperture Radar) have long been known and widely used for monitoring landslides and large structures such as reported in Tarchi D. at al. “Landslide monitoring by using ground based SAR interferometry: An example of application to the Tessina landslide” Engineering Geology, Vol. 68, no. 1-2, February 2003, pp. 15-30.
Such radars use a pair of antennas (respectively transmitting and receiving) which moves along a mechanical guide to acquire a radar image synthesizing a virtual opening equal to the scanning length.
Interferometric GBSAR systems based on a MIMO (Multiple Input Multiple Output) architecture are also known.
An example of such systems is reported in Tarchi D. et. al. “MIMO radar and ground based SAR imaging systems: equivalent approaches for remote sensing.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, no. 1, pp. 425-435, 2013. Such radar is based on a particular regular arrangement of the transmission and receiver antennas designed to minimize the side lobes (grating lobes).
It is also known a processing technique called Compressive Sensing “CS” (see for example Baraniuk, R. G. “Compressive sensing IEEE signal processing magazine, Vol. 24, no. 4, pp.118-121, 2007) applied to data acquired by a conventional GBSAR as reported in Zonno, M. “GBSAR data focusing based on compressive sensing.” In EUSAR 2014; 10th European Conference on Synthetic Aperture Radar; Proceedings of (pp. 1-4). 2014.
The application of CS to GB-SAR systems is also described in Riafeni Karlina et al.: “Compressive Sensing applied to imaging by ground based polarimetric SAR”—Geoscience and Remote Sensing Symposium (IGARSS)—2011 IEEE International, 24 Jul. 2011—pages 2861-2864.
The CS technique was also recently used in a MIMO GBSAR as described in M. Sato, “2-D and 3-D near range SAR imaging.” in Antenna Measurements & Applications (CAMA), 2017 IEEE Conference on, pp. 157-160 e in W. Feng, L. Yi, M. Sato “Near range radar imaging by SFCW linear sparse array based on block sparsity” 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23-28 Jul. 2017 DOI: 10.1109/IGARSS.2017.8128215). However, this system uses a conventional distribution of antennas and applies the CS technique in order to reduce the number of frequencies, not the number of antennas as in the invention subject of this patent.
A first object of the invention is to propose a MIMO GBSAR system with a reduced number of antennas, capable of overcoming the drawbacks of mechanical scanning GBSAR systems of the known type, speeding up the acquisition time of the images and the drawbacks of the current MIMO GBSAR which have strong side lobes due to the regular spacing of the antennas.
A second object is to propose a MIMO GBSAR system capable of measuring two different components of the displacement of a target in the radar field of view.
To these purposes according to the invention a system is proposed according to at least one of the appended claims, comprising a ground based synthetic aperture radar (GBSAR) with an irregular distribution of multiple transmitting and receiving directional antennas (MIMO) which uses an image processing technique comprising an algorithm of the CS (Compressive Sensing) type.
A first advantage of the invention with respect to known MIMO GBSAR systems is the reduction in the number of antennas with equal performances in terms of angular resolution and to allow to obtain images not affected by the problem of the side lobes (grating globes).
A second advantage with respect to the known MIMO GBSAR is that it is possible to use larger and therefore more directional antennas.
A second advantage is given by the fact that, in a particular configuration of the radar object of this invention it is possible to acquire two images of the same scenario taken from two different points of view and measure two different components of the possible displacement of the targets in the field of view.
These and other advantages will be better understood by a person skilled in the art from the description below and the accompanying drawings, wherein:
With reference to the attached drawings, the transmission and reception unit U is connected by means of two switch systems (also called SPNT: Single Pole N− through) SW1 and SW2 respectively to NTX transmitting antennas and NRX receiving antennas. Similarly, each switch system can be replaced by SPDT pairs (SPNT: Single Pole Double through) arranged as a tree.
Similarly, the receiving switch system can be replaced by NRX receivers operating in parallel.
Similarly, the transmitting switch system can be replaced by NTX waveform division transmitters as is typical of many MIMO systems (see for example J. J .M. De Wit, et al. “Orthogonal waveforms for FMCW MIMO radar.” In Radar Conference (RADAR), 2011 IEEE, pp. 686-691, 2011).
The radar object of this invention is based on a particular distribution of the transmitting (TX) and receiving (RX) antennas which are described below. With reference to
The two guides are parallel. Along the two guides antennas can be secured on positions regularly arranged with pitch p. In a preferred embodiment of the invention such pitch is equal to half of the radar wavelength (λ/2). A NTX number of transmitting antennas are arranged with a random irregular distribution, in the relative guide G1. A number NRX of receiving antennas are arranged with a random irregular distribution in the relative guide G2.
The acquisition takes place as follows:
A single TX antenna is turned on and is acquired (simultaneously or in succession) from all the RX antennas. This process is repeated for all the TX antennas, thus obtaining NTX×NRX signals or acquisition data Srxij.
For each of these Srxij data a virtual acquisition point PVAij can be associated at the median point between the centre of the TX antenna and the centre of the RX antenna.
All these points will be on a line LM at the median distance between guide G1 and guide G2 (see
Based on the position of these points on the median line, the so called psi array ((p) is constructed which will be used for CS processing. The construction of the psi array is performed as described below.
The number of columns K of the array is equal to the average length of the guides G1 and G2 divided by half of the pitch p. The number of rows M is arbitrarily chosen, but it is advisable to be equal to NTX×NRX.
All elements of all columns that do not correspond to a median point of a pair of TX and RX antennas are set to zero. The other elements of the array are filled with random numbers.
The array thus obtained is used to reconstruct (by means of the known technique CS) the values of the electric field acquired by K virtual antennas positioned along the median line between the G1 and G2 guide.
Acquisitions performed with K virtual antennas can be treated as the acquisitions of a conventional GBSAR moving along a line. Synthetic Aperture Radar (SAR) and radar interferometry known techniques can be applied to these data for the measurement of small displacements. In practice to measure the displacements (even millimetric) of a target in the field of view of the radar, two acquisitions are made in succession by transmitting and receiving from all antennas. The interferogram between the two obtained radar images is then calculated.
In a further configuration of the same radar (see
The first interferogram is obtained using the antennas on G2 as transmitting and the antennas on G1 as receiving.
The second interferogram is obtained using the antennas on G2 as transmitting and the antennas on G3 as receiving. The two interferograms provide two different components of the possible displacement of the targets in the field of view.
The present invention has been described according to preferred embodiments; however, equivalent variants can be conceived without departing from the scope of the invention.
Number | Date | Country | Kind |
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102018000006797 | Jun 2018 | IT | national |
Filing Document | Filing Date | Country | Kind |
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PCT/IB2019/055448 | 6/27/2019 | WO | 00 |