Parameter Estimation Method for Triangular LFM Continuous Signal Based on Differential Envelope Detection

Abstract

The invention belongs to the technical field of signal detection and estimation, and discloses a triangular linear frequency modulation continuous signal parameter estimation method based on differential envelope detection. A receiver samples an observed triangular linear frequency modulation continuous wave signal from the radar to obtain a sampling sequence; the receiver carries out differentialoperation, Hilbert transform and low-pass filtering on the sampling sequence to obtain a denoising envelope sequence; the receiver calculates according to the denoising envelope sequence to obtain signal characteristic parameters including a positive modulation frequency, a negative modulation frequency, a frequency modulation signal period, a minimum frequency in a sweep frequency interval and amaximum frequency in the sweep frequency interval. The triangular linear frequency modulation continuous signal parameter estimation method based on differential envelope detection has the advantagesof characteristic extraction and calculation in the time domain and lower time complexity, and can be used for solving the parameter estimation problem of the triangular linear frequency modulation continuous signal; the characteristic parameters of the triangular linear frequency modulation continuous signal can be obtained by utilizing the sequence difference and the envelope detection, and a parameter estimation value is calculated according to the envelope slope and the change time of the envelope slope.

Description

technical field [0001] The invention belongs to the technical field of signal detection and estimation, in particular to a method for estimating parameters of triangular linear frequency modulation continuous signals based on differential envelope detection. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: continuous wave radar is an important development direction of modern radar, and has the characteristics of low intercept probability compared with pulse radar. For electronic reconnaissance, how to effectively intercept the enemy's continuous wave radar signal and then extract the signal parameters is a problem worth studying. Among continuous wave radars, Linear Frequency Modulation Continuous Wave (LFMCW) signals are the most widely used. Research on how to effectively detect such signals and identify their characteristic parameters has important theoretical research significance and engineering applicatio...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the existing parameter estimation methods either perform multi-dimensional search in the parameter domain, or combine filter banks for analysis in the time-frequency domain, and the multi-dimensional search in the parameter domain results in a large amount of calculation

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