Adaptive <i>p</i> ‐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 output (MIMO) radar waveforms. Then, solve this problem, proposes an adaptive weighted cyclic algorithm-new (CAN), named p-norm (p-WeCAN). Specifically, the weight updating is constructed using peak side-lobe level (PSL) and integrated (ISL) simultaneously. Numerical results show that obtains similar PSL as best minimization algorithm low close its lower bound at same time.