Polarization-Angle-Frequency Estimation With Linear Nested Vector Sensors

IEEE Access

Xiaodong Han¹  Wenxian Yu¹  Ting Shu¹  Jin He¹ 

[1] Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China;

关键词: Angle and frequency estimation;    polarization estimation;    pulsed Doppler;    nested sampling;    nested array;    degree of freedom;   

DOI  :  10.1109/ACCESS.2018.2850902

来源: DOAJ

【 摘 要 】

This paper considers the problem of multiple dimensional parameter estimation of radar signals using a linear nested vector sensor array. We propose a computationally efficient polarizationangle-frequency estimation algorithm based on spatial-temporal nested sampling. Radar cross-sections diversity in multiple coherent processing intervals is exploited to construct a virtual polarization-spatialtemporal manifold with extended degrees of freedom. Then, a computational efficient method without eigen-decomposition is derived to estimate Khatri-Rao signal subspace. Automatically paired polarization, azimuth-elevation angles, and doppler frequency estimates are finally obtained by exploiting the idea of the estimation of signal parameters via rotational invariance techniques algorithm. The effectiveness of the proposed method is verified through numerical examples.

【 授权许可】

Unknown