Pattern Synthesis of MIMO Radar Based on Immune Differential Evolution Algorithm

Abstract

In order to optimize the pattern synthesis of multiple input and multiple output (MIMO) radar, immune mechanism is adopted to overcome the premature risk of differential evolution (DE) algorithm, namely immune differential evolution (IDE). Firstly, the modeling of MIMO radar is introduced by encoding the position of array in the binary. Secondly, the immune mechanism is employed to improve the DE. In IDE, two parameters are self-adapted for the mutation operator by immune mechanism to enhance the convergence ability of DE, including scaling factor and crossover rate. Several experiments are conducted to analysis the performance of IDE. The simulation results show that the IDE with variable parameters can get optimal results in MIMO radar with lower the peak side-lobe level (PSLL) and maintain the diversity with stronger convergence ability and shorter calculation speed.

Waveform design and signal processing method for integrated underwater detection and communication system

“…And Tian proposed an OFDM integrated waveform structure and its related processing techniques in his research [5]. And the split-beam regime is mainly used for phased-array radar, which divides the array into different areas and forms different beams simultaneously for other functions such as detection and communication respectively [6].…”