Through-Wall Single and Multiple Target Imaging Using MIMO Radar

Narayanan, Ram M.; Gebhardt, Evan T.; Broderick, Sean P.

doi:10.3390/electronics6040070

Cited by 19 publications

(16 citation statements)

References 44 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the first group, standard Synthetic Aperture Radar (SAR) imaging, also known as backpropagation or range migration techniques [4][5][6][7][8], are the most common techniques for radar applications, due to their simplicity, which makes these techniques computationally efficient thanks to the use of the Fast Fourier Transform (FFT). Their main limitation is the amount of spatial and frequency bandwidth required for accurate imaging.…”

Section: Of 15mentioning

confidence: 99%

“…Factors such as the dynamic range or processing time have to be taken into account when selecting an imaging system that best fits the requirements for a particular nondestructive testing application. As an example, detecting 15-20 cm size metallic targets buried 30 cm in dry sand [4], imaging of targets behind a 10 cm thick wall [5], or locating tumors in breast tissue [6] require different microwave imaging hardware and methods.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Synthetic Aperture Radar (SAR)-Based Technique for Microwave Imaging and Material Characterization

et al. 2018

View full text Add to dashboard Cite

This contribution presents a simple and fast Synthetic Aperture Radar (SAR)-based technique for microwave imaging and material characterization from microwave measurements acquired in tomographic systems. SAR backpropagation is one of the simplest and fastest techniques for microwave imaging. However, in the case of heterogeneous objects and media, a priori information about the constitutive parameters (conductivity, permittivity) is needed for an accurate imaging. In some cases, a first guess of the constitutive parameters can be extracted from an uncorrected SAR image, and then the estimated parameters can be introduced in a second step to correct the SAR image. The main advantage of this methodology is that there is little or no need for a priori information about the object to be imaged. Besides, calculation time is not significantly increased with respect to conventional SAR, thus allowing real-time imaging capabilities. The methodology has been validated by means of measurements acquired in a cylindrical setup.

show abstract

Section: Of 15mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Synthetic Aperture Radar (SAR)-Based Technique for Microwave Imaging and Material Characterization

et al. 2018

View full text Add to dashboard Cite

show abstract

“…From (26) and 27, we can infer that the antenna that is not occupied will transmit signals outward due to isolation. Because of the existence of this signal, the signal energy in the working link will be reduced and the performance of the system will be affected.…”

Section: Isolationmentioning

confidence: 99%

Design and Analysis of Multiple-Input Multiple-Output Radar System Based on RF Single-Link Technology

Yang

et al. 2018

Symmetry

View full text Add to dashboard Cite

Multiple-input multiple-output (MIMO) radar is playing an important role in military and civilian fields. However, radio frequency (RF) multi-links have a large data-processing capacity and the system is bulky and complex. Therefore, a single-link RF MIMO has been the subject of heated discussed in recent years. Single-link technology shares the same regularity with that of the multi-link MIMO system, which makes the MIMO system simpler in structure without affecting its performance. In this study, a 2 × 2 array single RF link MIMO radar at X band was designed by combining MIMO radar with the concept of a single RF link in the communication field, and a simulation platform for studying its properties was established using SystemVue software. The whole system is controlled by the exclusive OR (XOR) operation results of two transmission signals, and one signal can control the antenna-switching signal to form a variety of orthogonal bases. The received two original signals are demodulated and the control signals enter the corresponding matched filters. The signal is processed by fast Fourier transformation (FFT) and the cell-averaging constant false alarm rate algorithm (CA-CFAR) is used to judge the signal. For multiple measurements, the Monte Carlo method was adopted to obtain its mean value as the final result. Compared with the traditional MIMO radar performance in acquiring the target position, speed, and detection probability, the results show that the computation time can be greatly reduced (due to decrease in the number of links in MIMO radar system) without any deterioration in the MIMO radar performance. The single RF link technology provides a broad prospect for the miniaturization of small radar applications.

show abstract

“…Generally, the MIMO radar system can be classified into two types: (1) the colocated MIMO radars [7][8][9], where the distance between antennas is comparable with the wavelength, and the waveform diversity is exploited to improve the target estimation performance with the large virtual aperture; (2) the distributed MIMO radar [10][11][12][13], where the spacing between antennas is large, and the different view-angles from the antennas to targets are used to improve the detection performance with the diversity of radar cross-section (RCS). Since the direction of arrival (DOA) estimation problem is addressed in this paper, the colocated MIMO radar is adopted to improve the DOA estimation performance with larger virtual aperture than that in traditional phased array [14].…”

Section: Introductionmentioning

confidence: 99%

A Super-Resolution DOA Estimation Method for Fast-Moving Targets in MIMO Radar

Liu

Tang

Bai

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Direction of arrival (DOA) estimation is an essential problem in the radar systems. In this paper, the problem of DOA estimation is addressed in the multiple-input and multiple-output (MIMO) radar system for the fast-moving targets. A virtual aperture is provided by orthogonal waveforms in the MIMO radar to improve the DOA estimation performance. Different from the existing methods, we consider the DOA estimation method with only one snapshot for the fast-moving targets and achieve the superresolution estimation from the snapshot. Based on a least absolute shrinkage and selection operator (LASSO), a denoise method is formulated to obtain a sparse approximation to the received signals, where the sparsity is measured by a new type of atomic norm for the MIMO radar system. However, the denoise problem cannot be solved efficiently. en, by deriving the dual norm of the new atomic norm, a semidefinite matrix is constructed from the denoise problem to formulate a semidefinite problem with the dual optimization problem. Finally, the DOA is estimated by peak-searching the spatial spectrum. Simulation results show that the proposed method achieves better performance of the DOA estimation in the MIMO radar system with only one snapshot.(DFT) [19] is used to estimate the DOA, where the received signals are sampled by the antennas in the spatial domain, and then the DOA estimation is equal to a corresponding frequency estimation in the transformed domain. erefore, the frequency (DOA) in the spatial domain is obtained by the DFT methods, but the resolution of DFT method is limited by Rayleigh criterion. e methods that can break through the Rayleigh criterion are called super-resolution methods. Multiple signal classification (MUSIC) method [20][21][22], Root-MUSIC [23], and the estimation of signal parameters via rotational invariant techniques (ESPRIT) method [24][25][26] are three most essential super-resolution methods. e noise subspace and signal subspace are obtained in the MUSIC and ESPRIT methods to estimate the DOA, respectively. A TOD-MUSIC algorithm is proposed in [27] to estimate the DOA in the scenario with low signal-to-noise ratio (SNR) with diversity bistatic MIMO radar.However, the subspaces are obtained from the estimated covariance matrix of the received signals, so the multiple measurements are needed in MUSIC and ESPRIT methods to achieve a reasonable estimation of the covariance matrix.

show abstract

Through-Wall Single and Multiple Target Imaging Using MIMO Radar

Cited by 19 publications

References 44 publications

A Synthetic Aperture Radar (SAR)-Based Technique for Microwave Imaging and Material Characterization

A Synthetic Aperture Radar (SAR)-Based Technique for Microwave Imaging and Material Characterization

Design and Analysis of Multiple-Input Multiple-Output Radar System Based on RF Single-Link Technology

A Super-Resolution DOA Estimation Method for Fast-Moving Targets in MIMO Radar

Contact Info

Product

Resources

About