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Optimal Code Design for MIMO Radar

EasyChair Preprint no. 2421

9 pagesDate: January 20, 2020


The main objective of present research work is to propose optimal coded sequence design and efficient pulse compression techniques for different radar signals. To optimal coded sequence design for MIMO radar system and evaluate their MIMO radar characteristics. The objective function is to the improvement of autocorrelation and cross correlation sidelobe in most length of sequences with MIMO radar system. To generate pulse compression polyphase codes having lower peak sidelobes.To develop efficient sidelobe reduction structures using modified Particle Swarm Optimization (MPSO) algorithm which converges faster during the training time as well as provides the higher magnitude of peak to sidelobe ratio. To introduce and assess amplitude weighing technique for Linear Frequency Modulated (LFM) waveform and polyphase codes which are expected to provide better peak sidelobe at higher Doppler shifts. To select appropriate parameters of LFM pulse train to achieve reduced grating lobes, low peak sidelobe level and narrow mainlobe width.

Keyphrases: Auto-Correlation Peaks, Genetic Algorithm, Modified Particle Swarm Optimization Algorithm Cross-Correlation Peaks, Multi-Input and Multi-output, simulated annealing algorithm

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {J Pandu},
  title = {Optimal Code Design for MIMO Radar},
  howpublished = {EasyChair Preprint no. 2421},

  year = {EasyChair, 2020}}
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