Target Detection Performance Analysis of FDA-MIMO Radar

• Main Authors: Yu Zhu, Lei Liu, Zheng Lu, Shunsheng Zhang
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: IEEE Access
• Subjects: Frequency diverse array (FDA); multiple-input multiple-output (MIMO); FDA-MIMO radar; multiple-pulse detection; Neyman-Pearson criterion; FDA antenna
• Online Access: https://ieeexplore.ieee.org/document/8884771/

Inspired by recent advances in frequency diverse array (FDA) and multiple-input-multiple-output (MIMO) radars, this paper investigates the target detection performance of FDA-MIMO radar, which jointly utilizes the advantages of FDA radar and MIMO radar, for single- and multiple- coherent pulses, respectively. Firstly, the signal models in target detection are formulated for FDA-MIMO, standard FDA, phased-array and MIMO radars, respectively. We present a unified framework detector to comparatively analyze their target detection performance in the Neyman-Pearson sense. Furthermore, the deflection coefficient and signal-to-interference-plus-noise ratio (SINR) are also adopted as a performance metric to compare their performance. Numerical results show that FDA-MIMO radar achieves better target detection performance as compared to other conventional radar systems, specially when multiple coherent pulses are utilized.