Receive MVDR Beamforming Improves Range-Velocity Estimation for Hybrid-Array MIMO-OFDM Rad...

MIMO-OFDM is a key physical-layer architecture for current and next-generation wireless communication. This paper proposes a receive beamforming design scheme for MIMO-OFDM radars configured with partially-connected hybrid linear arrays, in an attempt to improve target parameter (i.e., angle, range, and velocity) estimation. Unlike existing joint estimation methods, our approach first adopts a subspace algorithm to acquire the angle information at the analog beamformer output. Then, maximum signal-to-interference ratio (MSINR) digital beamforming is conducted for target signal alignment to achieve (i) accurate range-velocity estimation thanks to suppressed interference, and (ii) automatic pairing of the identified parameter triple. Moreover, the received signal structure at the analog beamformer output is exploited for obtaining side information of the target range, which can be used to accelerate the search of range and velocity. Simulation results are used to illustrate the effectiveness of the proposed scheme.

Receive MVDR Beamforming Improves Range-Velocity Estimation for Hybrid-Array MIMO-OFDM Radars

Wei-Cheng Kao, Jwo-Yuh Wu, Shang-Ho Tsai, National Yang Ming Chiao Tung University; Tsang-Yi Wang, National Sun Yat-Sen University