Spatial difference smoothing for coherent sources location in MIMO radar

作者：Hong Sheng; Wan Xianrong^*; Ke Hengyu

来源：Signal Processing, 2015, 109: 69-83.

DOI：10.1016/j.sigpro.2014.09.037

• MIMO radar
• DOD and DOA estimation
• Coherent sources
• Unknown noise

In this paper, we develop a group of spatial difference smoothing (SDS) techniques in multiple-input multiple-output (MIMO) radar to facilitate the directions-of-departure (DODs) and directions-of-arrival (DOAs) estimation of coherent signals under unknown correlated noise. The conventional SDS technique, which exploits the difference between the forward spatially smoothed covariance matrix and the backward one, has been used to reduce noise for coherent sources location. However, it fails when the number of sources is odd. To solve the problem, we refine the SDS technique into asymmetric SDS (A-SDS) technique. Meanwhile, two smoothing methods exist in MIMO radar, which are transmit-receive spatial smoothing relying on the rotational invariance property of array and transmit-receive diversity smoothing brought by waveform diversity. Then the general SDS and A-SDS techniques using the spatial smoothing are specialized into transmit-receive diversity SDS (TRD-SDS) and asymmetric TRD-SDS (A-TRD-SDS) techniques using the diversity smoothing. Further, the forward, backward, and combined forward-backward forms of these four kinds of smoothing techniques are discussed. Based on them, eigenstructure algorithms are applied for DOD and DOA estimation. The proposed techniques can be used in bistatic or monostatic MIMO radar under spatially colored or white noise, and their effectiveness is confirmed by simulations.

• 出版日期2015-4
• 单位武汉大学