Detection of weak multi-target with adjacent frequency based on chaotic system. (November 2019)

• Record Type: Journal Article
• Authors: Chen, Dawei; Shi, Shuo; Gu, Xuemai; Shim, Byonghyo; Ren, Qianyao
• Is Part Of: International journal of distributed sensor networks. Volume 15:Number 11(2019)
• Publication Date: 2019-11
• Subjects: Weak signal detection -- multi-target -- adjacent frequency -- chaotic system -- general critical state; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1177/1550147719890244
• Languages: English
• ISSNs: 1550-1329

Abstract

As a promising technology in signal detection, the chaotic detection system can significantly improve the accuracy of weak signal detection in strong background noise. It benefits from its characteristics of the sensitivity to the initial condition and the immunity to the Additive White Gaussian Noise. However, the fundamental challenges of the existing chaotic detection system are the sensitivity to narrow-band noise and the influences of multi-target detection with adjacent frequency, which bring great difficulties in the real application. To address these problems, in this article, we focus on the weak multi-target detection with adjacent frequency under the narrow-band noise, and a novel chaotic detection system that integrates the detection algorithm based on period-chaos duration ratio is proposed. In order to enhance the robustness to narrow-band noise, the Melnikov method is used to analyze the Duffing difference system. To realize the detection of weak multi-target with adjacent frequency, we proposed the detection system using the rule named general critical state. Furthermore, simulation results corroborate that the proposed system based on period-chaos duration ratio can achieve satisfactory performance in terms of the weak multi-target detection under narrow-band noise, and it is well investigated by extensive simulation for testing its effectiveness.