ICASSP 2023accepted0 citations

Optimal Carrier Frequency Design for Frequency Diverse Array Mimo Radar

Jie Cheng, Maria Juhlin, Wen-Qin Wang, Andreas Jakobsson

Abstract

In this work, we introduce a novel approach for designing the transmit frequency offset scheme based on Cramér-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 a priori knowlegdge. The worst case optimal FDA-MIMO (OFDA-MIMOW) 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.

BibTeX
@inproceedings{icassp2023_optimalcarrierfr,
  title = {Optimal Carrier Frequency Design for Frequency Diverse Array Mimo Radar},
  author = {Jie Cheng and Maria Juhlin and Wen-Qin Wang and Andreas Jakobsson},
  booktitle = {ICASSP 2023},
  year = {2023}
}