Instantaneous cross-correlation function type of WD based LFM signals analysis via output SNR inequality modeling

Sheng-Zhou Qiang,Yun Sun,An-Yang Wu,Pu-Yu Han,Xian Jiang,Zhi-Chao Zhang,Yun-Jie Chen,Xi-Ya Shi

doi:10.1186/s13634-021-00830-7

Abstract

Linear canonical transform (LCT) is a powerful tool for improving the detection accuracy of the conventional Wigner distribution (WD). However, the LCT free parameters embedded increase computational complexity. Recently, the instantaneous cross-correlation function type of WD (ICFWD), a specific WD relevant to the LCT, has shown to be an outcome of the tradeoff between detection accuracy and computational complexity. In this paper, the ICFWD is applied to detect noisy single component and bi-component linear frequency-modulated (LFM) signals through the output signal-to-noise ratio (SNR) inequality modeling and solving with respect to the ICFWD and WD. The expectation-based output SNR inequality model between the ICFWD and WD on a pure deterministic signal added with a zero-mean random noise is proposed. The solutions of the inequality model in regard to single component and bi-component LFM signals corrupted with additive zero-mean stationary noise are obtained respectively. The detection accuracy of ICFWD with that of the closed-form ICFWD (CICFWD), the affine characteristic Wigner distribution (ACWD), the kernel function Wigner distribution (KFWD), the convolution representation Wigner distribution (CRWD) and the classical WD is compared. It also compares the computing speed of ICFWD with that of CICFWD, ACWD, KFWD and CRWD.

Highlights

In recent decades, the linear canonical transform (LCT) has been attracted much attention due to its significance in optics propagation [1], time-frequency analysis [2], and signal processing [3]
The main purpose of this paper is to study weak signal detection problem through the output signal-tonoise ratio (SNR) inequality modeling and solving of the instantaneous crosscorrelation function type of WD (ICFWD)
6 Conclusion Since the ICFWD has a significant benefit in the tradeoff between detection accuracy and computational complexity among all of the linear canonical domain Wigner distribution (WD), the application of ICFWD in weak multi-component linear frequency-modulated (LFM) signals detection problem has been investigated

Summary

Introduction

The linear canonical transform (LCT) has been attracted much attention due to its significance in optics propagation [1], time-frequency analysis [2], and signal processing [3]. Wigner distribution (WD) began its definition at quantum statistical mechanics [12] and later had found many applications in signal processing [13] As it is known, the WD is an effective time-frequency analysis tool but subjected to the interference of the cross-term when dealing with multi-component signals. The WD is an effective time-frequency analysis tool but subjected to the interference of the cross-term when dealing with multi-component signals This kind of issue is the subject which the WD pays attention throughout.

Objectives

Methods

Results

Conclusion