A Novel MIMO Radar Orthogonal Waveform Design Algorithm Based on Intelligent Ions Motion

Orthogonal waveform design is one of the key technologies that affects the detection performance of MIMO radars. Most of the existing methods indirectly tackle this problem as an intractable nonconvex optimization and an NP-hard problem. In this work, we propose a novel waveform design algorithm based on intelligent ions motion optimization (IMO) to directly obtain a set of polyphase codes with good orthogonality. The autocorrelation sidelobe and cross-correlation sidelobe are first derived and subsequently integrated into evaluation functions for evaluating the orthogonality of polyphase codes. In order to effectively cope with the aforementioned problem, we present a strengthened IMO that is highly robust and converges rapidly. In the liquid state, an optimal guiding principle of same-charge ions is suggested to enhance global search ability and avoid falling into local optima. An ion updating strategy based on fitness ranking is presented to improve the search efficiency in the crystal state. Finally, the improved algorithm is employed to optimize the polyphase codes. The experimental results, compared with other state-of-the-art algorithms, show that the polyphase codes obtained by the proposed algorithm have better orthogonality.

Automated summary

The paper proposes a novel waveform design algorithm based on intelligent ions motion optimization to directly obtain polyphase codes with good orthogonality. The algorithm evaluates orthogonality using autocorrelation and cross-correlation sidelobes and employs a strengthened IMO and ion updating strategy for improved search efficiency. Experimental results demonstrate better orthogonality compared to state-of-the-art algorithms.