Sparse Parameter Estimation and Imaging in mmWave MIMO Radar Systems With Multiple Stationary and Mobile Targets

This work conceives novel target detection and parameter estimation schemes in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) radar (mMR) systems for both stationary and mobile targets/radar platform. Initially, the orthogonal matching pursuit (OMP)-based mmR (OmMR) algorithm is prop...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.132836-132852
Main Authors: Jafri, Meesam, Srivastava, Suraj, Anwer, Sana, Jagannatham, Aditya K.
Format: Article
Language:English
Subjects:
Algorithms
Doppler velocity
Estimation
Matched pursuit
Mathematical analysis
Millimeter wave (mmWave)
Millimeter wave communication
Millimeter waves
MIMO communication
MIMO radar
Parameter estimation
Radar
Radar antennas
Radar cross sections
Radar equipment
Radar imaging
RCS coefficients
Scattering
Signal to noise ratio
simultaneous orthogonal matching pursuit
sparsity
Target detection
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Summary:This work conceives novel target detection and parameter estimation schemes in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) radar (mMR) systems for both stationary and mobile targets/radar platform. Initially, the orthogonal matching pursuit (OMP)-based mmR (OmMR) algorithm is proposed for stationary targets to estimate their radar cross-section (RCS) coefficients, angle, range locations together with the number of targets. Next, mMR systems with mobile targets and platform are considered, followed by development of the simultaneous OMP (SOMP)-based mMR (SmMR) algorithm for RCS, angle/range estimation together with their Doppler velocities. The proposed algorithms lead to a significant improvement in performance since they exploit the inherent sparsity of the mMR scattering scene in contrast to the conventional schemes. Two-dimensional (2D) mMR imaging procedures are also presented for both scenarios in the angle, range, and Doppler dimensions. Analytical expressions are derived for the Cramér-Rao bounds (CRBs) for the mean-squared error (MSE) of joint estimation of the RCS coefficients and Doppler velocities. Simulation results demonstrate that proposed schemes perform well even in low signal-to-noise ratio (SNR) scenarios with a few snapshots of the scattering environment and yield improved performance in comparison to existing sparse as well as non-sparse schemes.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3230988