A Random Antenna Subset Selection Jamming Method against Multistatic Radar System

TL;DR

This paper introduces a novel random antenna subset selection jamming technique against multistatic radar systems, which disrupts traditional suppression methods by maintaining a full-rank covariance matrix, thereby enhancing jamming effectiveness.

Contribution

The paper proposes a new RASS jamming method that activates antenna elements randomly, creating stable mainlobes and random sidelobes, and demonstrates its superiority over traditional methods.

Findings

The covariance matrix of the proposed jamming signals is full rank.

The RASS method invalidates subspace-based jamming suppression techniques.

Numerical results show improved jamming performance compared to traditional methods.

Abstract

Multistatic radar system (MSRS) is considered an effective scheme to suppress mainlobe jamming, since it has higher spatial resolution enabling jamming cancellation from spatial domain. To develop electronic countermeasures against MSRS, a random array subset selection (RASS)jamming method is proposed in this paper. In the RASS jammer, elements of the array antenna are activated randomly, leading to stable mainlobe and random sidelobes, different from the traditional jammer that applies the complete antenna array enjoying constant mainlobe and sidelobes. We study the covariance matrix of jamming signals received by radars, and derive its rank, revealing that the covariance matrix is of full rank. We also calculate the output jamming to signal and noise ratio (JSNR) after the subspace-based jamming suppression methods used in MSRS under the proposed jamming method, which demonstrates that the full rank property invalidates such suppression methods. Numerical results verify our analytical deduction and exhibit the improved countermeasure performance of our proposed RASS jamming method compared to the traditional one.