Optimal Carrier Frequency Design for Frequency Diverse Array MIMO Radar
Jie Cheng (University of electronic science and technology of China); Maria Juhlin (Lund University); Wen-Qin Wang (University of electronic science and technology of China); Andreas Jakobsson (Lund University)
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In this work, we introduce a novel approach for designing the transmit frequency offset scheme based on Cram{\'e}r-Rao lower bound (CRLB) minimization for a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar. The problem originates in non-uniform FDA radar where each frequency offset scheme derives from a specific mathematical model, but where no optimization is conducted with respect to the frequency offset design. We propose two frequency selection schemes for FDA-MIMO radar based on A-optimal minimization, both incorporating {\em a priori} knowlegdge. The worst case optimal FDA-MIMO (OFDA-MIMO-W) radar forms the frequency selection by minimizing the CRLB over a grid of the unknown parameters, whereas the Bayesian optimal FDA-MIMO (OFDA-MIMO-B) radar instead minimizes the Bayesian CRLB (BCRLB). The performances of the methods are evaluated using simulated data and compared to other common frequency selection schemes.