2025/03/14 by Chen Zhong, Xufeng Zhou, Zhong, Chen +5
Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Electrical engineering #Radar Systems and Signal Processing #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2503.11111
openalex publication_date 2025/03/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we investigate a distributed multi-input multi-output and orthogonal frequency division multiplexing (MIMO-OFDM) dual-function radar-communication (DFRC) system, which enables simultaneous communication and sensing in different subcarrier sets. To obtain the best tradeoff between communication and sensing performance, we first derive Cramer-Rao Bound (CRB) of targets in the detection area, and then maximize the transmission rate by jointly optimizing the power/subcarriers allocation and the selection of radar receivers under the constraints of detection performance and total transmit power. To tackle the non-convex mixed integer programming problem, we decompose the original problem into a semidefinite programming (SDP) problem and a convex quadratic integer problem and solve them iteratively. The numerical results demonstrate the effectiveness of our proposed algorithm, as well as the performance improvement brought by optimizing radar receivers selection.