1 research outputs found
Designing Sequence with Minimum PSL Using Chebyshev Distance and its Application for Chaotic MIMO Radar Waveform Design
Controlling peak side-lobe level (PSL) is of great importance in
high-resolution applications of multiple-input multiple-output (MIMO) radars.
In this paper, designing sequences with good autocorrelation properties are
studied. The PSL of the autocorrelation is regarded as the main merit and is
optimized through newly introduced cyclic algorithms, namely; PSL Minimization
Quadratic Approach (PMQA), PSL Minimization Algorithm, the smallest Rectangular
(PMAR), and PSL Optimization Cyclic Algorithm (POCA). It is revealed that
minimizing PSL results in better sequences in terms of autocorrelation
side-lobes when compared with traditional integrated side-lobe level (ISL)
minimization. In order to improve the performance of these algorithms,
fast-randomized Singular Value Decomposition (SVD) is utilized. To achieve
waveform design for MIMO radars, this algorithm is applied to the waveform
generated from a modified Bernoulli chaotic system. The numerical experiments
confirm the superiority of the newly developed algorithms compared to
high-performance algorithms in mono-static and MIMO radars.Comment: 14 page