Characteristic extraction method of radar in-pulse modulation signals

A feature extraction and internal modulation technology, applied in the field of signal feature extraction, can solve the problems of difficult extraction of edge information of time-frequency distribution images, insufficient mining of rich information of time-frequency distribution images, etc., to achieve high recognition rate and good robustness and noise immunity characteristics

Inactive Publication Date: 2009-11-25
南京宇音力新电子科技有限公司
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Problems solved by technology

However, this method only uses the edge information of the time-frequency distribution image, and does not fully exploit the rich information contained in the time

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  • Characteristic extraction method of radar in-pulse modulation signals
  • Characteristic extraction method of radar in-pulse modulation signals
  • Characteristic extraction method of radar in-pulse modulation signals

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Embodiment Construction

[0031] The technical solutions of the present invention will be further described below in conjunction with the drawings and embodiments.

[0032] figure 1 The flow chart for the feature parameter extraction and classifier construction of the radar intrapulse modulation signal is as follows:

[0033] (1) Time-frequency decomposition is performed on the received radar intrapulse modulation signal to obtain the corresponding time-frequency distribution image:

[0034] Let the radar signal received by the reconnaissance receiver be:

[0035] x(t)=s(t)+n(t), 0≤t≤T (Formula 1)

[0036] where n(t) is zero mean and variance σ 2 Gaussian white noise process, T is the pulse width, s(t) is the radar signal, expressed in the form of analytical signal

[0037] (Formula 2)

[0038] where f 0 is the carrier frequency, is the initial phase, c(t) is the phase function, and A is the magnitude. The modulation method of the signal is reflected in the phase function c(t). Here, four ty...

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Abstract

The invention provides a characteristic extraction method of radar in-pulse modulation signals. The characteristic extraction method of radar in-pulse modulation signals comprises the following steps: decomposing the time frequency of the received radar in-pulse modulation signals to obtain a corresponding time-frequency distribution image; and then, analyzing principal components of the time-frequency distribution image after two-dimensional wavelet discomposition to obtain characteristic parameters of each class of radar in-pulse modulation signals so as to construct a corresponding classifier. The extracted signal characteristic parameters have favorable robustness and stronger anti-noise capability, and the generated classifier can be utilized to obtain higher signal identification rate, therefore, the characteristic extraction method can be effectively applied to the identification of the radar in-pulse modulation signals.

Description

technical field [0001] The invention relates to a feature extraction method of a signal, in particular to a feature extraction method of a radar intrapulse modulation signal. Background technique [0002] Radar intrapulse modulation refers to a specific modulation pattern adopted by radar to improve its detection performance and anti-jamming measures. With the continuous development of modern radar technology, more and more radars work with various complex intrapulse modulation methods, which brings new challenges to the detection, sorting and identification of radar signals. At present, the general methods of radar signal intrapulse modulation characteristic analysis are time domain autocorrelation method, modulation domain analysis method, spectral correlation method, time domain cepstrum method, etc. The characteristics of the signals are clearly distinguished, so as to achieve the purpose of signal classification and recognition, so they are interpenetrated and interrel...

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Application Information

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IPC IPC(8): G01S7/02G01S13/89
Inventor 赵力魏昕余华冀贞海邹采荣
Owner 南京宇音力新电子科技有限公司
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