Adaptive p ‐norm weighted cyclic algorithm‐new algorithm for designing unimodular multiple input multiple output radar waveforms with good correlations

This letter formulates a high‐dimensional multi‐objective optimization model to minimize all correlation function values for multiple input multiple output (MIMO) radar waveforms. Then, to solve this problem, this letter proposes an adaptive weighted cyclic algorithm‐new (CAN), named p ‐norm weighted cyclic algorithm‐new ( p ‐WeCAN). Specifically, the adaptive weight updating function is constructed using p ‐norm to minimize peak side‐lobe level (PSL) and integrated side‐lobe level (ISL) simultaneously. Numerical results show that the p ‐norm weighted cyclic algorithm‐new obtains similar PSL values as the best PSL minimization algorithm and low integrated side‐lobe level values close to its lower bound at the same time.