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Chirp signal detection, parameter estimation method, and system thereof

A technology of linear frequency modulation signal and detection method, which is applied in the field of signal processing, can solve the problems of huge total calculation amount, etc., and achieve the effect of reducing coordinate transformation, reducing complexity, and being easy to implement

Active Publication Date: 2016-07-20
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology

When estimating the parameters of the chirp signal, the calculation of the fractional order spectrum must be performed on the entire fractional order domain, and the total amount of calculation is relatively large.

Method used

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  • Chirp signal detection, parameter estimation method, and system thereof
  • Chirp signal detection, parameter estimation method, and system thereof
  • Chirp signal detection, parameter estimation method, and system thereof

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Embodiment

[0106] at sampling frequency f s =8000Hz Sampling the continuous signal of the following form, the time domain and frequency domain waveforms of the obtained signal are as follows Figure 6 shown, where Figure 6 -(a) is the time domain waveform of the signal, Figure 6 -(b) is the spectrum distribution of the signal.

[0107]

[0108] Which contains the chirp signal exp[jπf 0 t+πBt 2 ], the parameters of the chirp signal are as follows: the center frequency is f 0 =200Hz, the signal bandwidth is B=200Hz, the signal pulse width is T=0.1s, k=B / T is the frequency modulation slope of the signal, and k=200 for the linear frequency modulation signal. n(t) is noise, and the signal-to-noise ratio of the chirp signal and the noise is SNR=-10dB. It can be seen from the time domain and frequency domain waveforms in Figure (6) that the chirp signal is completely submerged in noise.

[0109] 1. Dimensional normalization processing is performed on the signal, and the normalizatio...

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Abstract

The invention provides a chirp signal detection, parameter estimation method, and a system thereof. The chirp signal detection, parameter estimation method is characterized in that a to-be-detected signal can be input, and the pretreatment of the to-be-detected signal can be carried out; the fractional spectrums of the signal sequence at various angles after the pretreatment can be calculated by adopting the optimized fractional Fourier transform method- the concise fractional Fourier transform method, and then the fractional spectrums distributed along the angle-frequency two-dimensional direction can be output; the searching of the fractional spectrums on the angle-frequency two-dimensional plane can be carried out, and then the point of the maximum value of the fractional spectrum result can be searched, and when the spectral energy at the point is higher the set threshold value, the chirp signal exists in the to-be-detected signal. The optimized concise fractional Fourier transform method is characterized in that the chirp multiplication of the signal sequence can be carried out, and the rotation of the frequency axis can be carried out on the time frequency plane, and therefore the signal time frequency structures at different angles can be acquired; the fractional spectrums of the rotation signals can be acquired by the Fourier conversion of the signals after the rotation.

Description

technical field [0001] The present invention relates to the field of signal processing, in particular to a detection method for linear frequency modulation signals in the field of radar or underwater acoustics - a simple fractional Fourier transform method, which can be used to analyze the fractional domain spectrum distribution characteristics of the signal, and utilize the signal Fractional spectral distribution for detection and parameter estimation of chirp signals. Background technique [0002] A given signal can be described in different forms. The variation of the amplitude of the signal with time constitutes the time domain form of the signal. The Fourier transform transforms the signal from the time domain to the frequency domain, which enriches the description of signal features. But the Fourier transform is difficult to analyze the local characteristics of the signal, and cannot accurately describe the characteristics of the non-stationary signal. As a result, ...

Claims

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Application Information

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IPC IPC(8): G01D21/00G06F17/14
Inventor 陈艳丽郭良浩宫在晓
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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