Optimization of OFDM LiDAR-Communication Integration System Using MIMO and PSO

To enhance the anti-interference capability of the orthogonal frequency division multiplexing (OFDM) light detection and ranging (LiDAR)-communication integration system, a multiple input multiple output (MIMO)-OFDM LiDAR-communication integration system is proposed. The system employs MIMO spatial diversity techniques to ensure signal quality and utilizes the particle swarm optimization (PSO) algorithm to optimize the power distribution of LiDAR resource units (RUs). Simulation results demonstrate that, in the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4\times 4$ </tex-math></inline-formula> MIMO configuration, the proposed system achieves a minimum of 7 dB improvement in bit error rate (BER) performance compared to conventional OFDM systems. Additionally, it reduces the peak sidelobe ratio (PSLR) and integrated sidelobe ratio (ISLR) in the range direction by 12.91 dB and 11.92 dB, respectively. Following PSO optimization, the system further decreases the ISLR in the velocity direction by 15.49 dB.