Cognitive waveform design for widely separated multi-input multi-output radar with stopband in presence of narrowband jammer

Document Type : Original Article

Authors

1 Faculty of Electrical Engineering, Imam Hossein Comprehensive University, Tehran, Iran

2 Electronic Warfare Department, Electricity and Electronic Warfare Faculty, Imam Hossein University, Tehran, Iran

3 Amirkabir University

4 دانشگاه امام حسین

Abstract

In this paper, we aim at designing sets of discrete-phase fixed-amplitude with proper aperiodic autocorrelation and cross-correlation functions for widely separated multiple-input multiple-output (WS-MIMO) radar transmitters, which should be using simultaneously narrow-band interference (jammers) or telecommunications link systems. We show that in design waveform level, we can achieve the sets of sequences be obtained by minimizing the maximum Integrated side lobe level (ISL) of the codes (in time domain) and removing the passband of the interference systems or the desired telecommunication links (in the frequency domain). It should be noted that any desired WS-MIMO radar transmitter should take action to remove the measured undesirable frequency band in a cognitive way from its surrounding environment. Finally, a set of designed sequences, each one has a band removed according to its surrounding environment, and the ISL of the autocorrelation and cross-correlation functions of all pairs of its transmitters is minimized. In the proposed method, a multi-dimensional constrained optimization problem is defined with the help of Pareto weight functions to minimize ISLR and undesirable spectral band together simultaneously. Then, using the coordinate descent (CD) framework, an efficient uniform algorithm based on fast Fourier transform (FFT) is proposed to minimize the multidimensional objective function.

Keywords

Radar
Volume 10, Issue 2 - Serial Number 28
Number 28, Autumn and Winter Quarterly
January 2023

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History

  • Receive Date: 01 September 2022
  • Revise Date: 19 May 2024
  • Accept Date: 29 May 2022
  • Publish Date: 22 December 2022

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