Detection performance analysis of hybrid MIMO radar

Abstract

This study focuses on the detection performance analysis of a notional hybrid MIMO radar, which can be seen as a combination of the phased-array and distributed MIMO radars. The signal model of the proposed hybrid MIMO radar is re-derived using the Rayleigh target model. In the sense of Neyman–Person principle, the optimal detector is developed. Then, the detection performance bound is derived based on the relative entropy. Theoretical derivation and numerical examples show that, for most common signal-to-noise ratio (SNR) cases, the detection performance of the hybrid MIMO is better than the conventional phased-array and MIMO radars. Furthermore, for the high SNR case, the proposed system configuration with larger number of sub-arrays performs better detections, while in the low SNR case, that with smaller number of sub-arrays performs better detections.

Keywords

• entropy
• mimo radar
• radar detection
• phased array radar
• snr
• relative entropy
• detection performance bound
• optimal detector
• neyman-person principle
• signal-to-noise ratio
• distributed mimo radars
• phased-array radar
• rayleigh target model
• signal model
• notional hybrid mimo radar
• detection performance analysis