基于检测-跟踪算法的多分量瞬时频率-调频率估计

doi:10.12305/j.issn.1001-506X.2024.01.03

Abstract

Abstract:

As the important feature of non-stationary signals, it is of great significance to study the accurate estimation instantaneous frequency (IF) and instantaneous frequency rate (IFR). Existing methods are prone to association errors in processing non-stationary signals with multiple components. The short-time chirp Fourier transform can represent the signal with time-frequency-frequency rate three-dimensional information, which make the possibility of overlapping between different components is greatly reduced, and the time-series association can be realized by using the frequency-frequency rate variation law. A multi-component IF-IFR estimation method based on detection-tracking algorithm is proposed. Firstly, a detection method based on modified YOLOX network is proposed to solve the problem of limited accuracy of traditional detection algorithm in noise environment, and the IF-IFR estimation and shape feature extraction can be realized. Then, the temporal association between the instantaneous estimates and the shape features based on Kalman filter is proposed to form stable and continuous multi-component IF and IFR estimates. The proposed algorithm is verified by simulation and real data. The optimal estimation error is less than 0.8 Hz under the condition of -5 dB signal to noise ratio in the simulation scenario set up in this paper, which proves the effectiveness of the proposed method.

Key words: non-stationary signal, detection-tracking, instantaneous frequency (IF), instantaneous frequency rate (IFR)

CLC Number:

TN95

Jie LU, Wenpeng ZHANG, Yongxiang LIU, Wei YANG. Multi-component instantaneous frequency-frequency rate estimation based on detection-tracking algorithm[J]. Systems Engineering and Electronics, 2023, 46(1): 22-34.

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变量名	最小值	最大值
A	10	16
f₁	-150	-100
f₂	125	175
f₃	-280	-200
f₄	350	370
f₅	-50	-10
f_offset	-80	0
f_v	1	1

对比方法	表征形式	估计参数
基于YOLO的检测算法	时间-频率-调频率表征	IF, IFR
基于CFAR的检测算法	时间-频率-调频率表征	IF, IFR
基于STSR的估计算法	时间-频率-调频率表征	IF, IFR
基于VA的IF估计算法	时间-频率表征	IF
基于VA的IFR估计算法	时间-调频率表征	IFR

对比方法	表征形式	估计参数
基于YOLO的检测算法	时间-频率-调频率表征	IF, IFR
基于STSR的估计算法	时间-频率-调频率表征	IF, IFR
基于RPRG的检测算法	时间-频率表征	IF
基于VA的IF估计算法	时间-频率表征	IF

窗长	RMSE/Hz
75	0.874 2
95	0.817 2
115	0.783 3
135	0.925 1
155	1.374 6

雷达参数	数值
开始频率/GHz	77.032 1
结束频率/GHz	77.545 0
带宽/GHz	0.512 9
距离分辨率/m	0.292 2
速度分辨率/(m·s^-1)	1.971 0

Multi-component instantaneous frequency-frequency rate estimation based on detection-tracking algorithm

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对比方法	RMSE/Hz	运行时间/s
本文所提算法(4倍下采样)	1.818	5.82
基于STSR的估计算法	1.921	110.72
基于RPRG的检测算法	2.200	4.92
基于VA的IF估计算法	2.192	2.025