Complementary-based chaotic phase-coded waveforms design for MIMO radar

This study deals with orthogonal waveform design for multi-input multi-output (MIMO) radar. Chaos is introduced to generate orthogonal phase-coded waveforms of arbitrary coded length for arbitrary number of transmitters. However, most of these chaos-based waveforms suffer high range sidelobe level and intrapulse Doppler intolerance for pulse compression. A complementary transmitting structure is proposed for the MIMO radar to supress these high range sidelobes, and an adaptive clonal selection algorithm is introduced to search for the optimal complementary codes of the transmitted chaotic phase-coded waveform. This algorithm proves that it is convergent in theory as well. A multiple hypotheses approach is introduced at the transmitters to estimate and then compensate for the intrapulse Doppler phase shift for MIMO radar pulse compression countering the intrapulse Doppler intolerance. Numerical simulations with four typical chaotic maps are carried out and compared with Deng´s codes, which validate the proposed methods of this study.