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- Title
Advancements in Jammer Location Identification and Suppression: Employing a Multi-Target Least Square Constant Modulus Array Approach.
- Authors
Ganguly, Saurav; Ghosh, Ishita; Kumar, Puli Kishore; Sarkar, Indranil; Ghosh, Jayanta; Mukhopadhyay, Mainak
- Abstract
In the domain of array signal processing, the identification and suppression of jamming signals pose significant challenges, particularly in scenarios where intentional interferers operate in the far-field region. This study introduces an innovative beamforming technique, the multi-target least square constant modulus algorithm (MT-LSCMA), which surpasses traditional direction-of-arrival (DOA) estimation methods like estimation of signal parameters via rotational invariant techniques (ESPRIT) and multiple signal classification (MUSIC) by addressing their limitations in computational complexity, detection efficacy, and inaccuracies arising from coherent sources. Unlike conventional approaches, the MTLSCMA, an extension of the blind constant modulus adaptive beamforming method, does not rely on a reference signal for the optimization of the mean-square-error (MSE) cost function. Instead, it iteratively updates the weights based on constant modulus signal information, facilitating the identification of jammer locations even under low signal-tonoise ratios (SNR). This methodology enhances anti-jamming capabilities by adaptively forming nulls in the radiation pattern directed towards the jammers. Simulation results demonstrate the superior accuracy of the MT-LSCMA in tracking jammers compared to both traditional and recently developed techniques. The proposed method yields significant improvements in detection probability, resolution probability, failure rate, computational complexity, and root-mean-square-error (RMSE), thus offering a robust solution for effective jammer location identification and suppression.
- Subjects
LEAST squares; MULTIPLE Signal Classification; COST functions; ARRAY processing; IDENTIFICATION; SIGNAL processing; RADAR interference
- Publication
Traitement du Signal, 2024, Vol 41, Issue 2, p629
- ISSN
0765-0019
- Publication type
Article
- DOI
10.18280/ts.410207