Open Access

ARTICLE

Modeling Target Detection and Performance Analysis of Electronic Countermeasures for Phased Radar

by T. Jagadesh^1,2, B. Sheela Rani^3,*

1 Faculty of Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, India
2 Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore,641048, India
3 Sathyabama Institute of Science and Technology, Chennai, 600119, India

* Corresponding Author: B. Sheela Rani. Email:

Intelligent Automation & Soft Computing 2023, 35(1), 449-463. https://doi.org/10.32604/iasc.2023.026868

Received 06 January 2022; Accepted 17 February 2022; Issue published 06 June 2022

Abstract

Interference is a key factor in radar return misdetection. Strong interference might make it difficult to detect the signal or targets. When interference occurs in the sidelobes of the antenna pattern, Sidelobe Cancellation (SLC) and Sidelobe Blanking are two unique solutions to solve this problem (SLB). Aside from this approach, the probability of false alert and likelihood of detection are the most essential parameters in radar. The chance of a false alarm for any radar system should be minimal, and as a result, the probability of detection should be high. There are several interference cancellation strategies in the literature that are used to sustain consistent false alarms regardless of the clutter environment. With the necessity for interference cancellation methods and the constant false alarm rate (CFAR), the Maisel SLC algorithm has been modified to create a new algorithm for recognizing targets in the presence of severe interference. The received radar returns and interference are simulated as non-stationary in this approach, and sidelobe interference is cancelled using an adaptive algorithm. By comparing the performance of adaptive algorithms, simulation results are shown. In a severe clutter situation, the simulation results demonstrate a considerable increase in target recognition and signal to noise ratio when compared to the previous technique.

---

Keywords

---