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Poly-phase code radar signal waveform automatic identification method based on continuous wave Doppler (CWD) feature

A radar signal, polyphase coding technology, applied in radio wave measurement systems, instruments, etc., can solve the problem of high signal-to-noise, and achieve the effect of high recognition accuracy

Inactive Publication Date: 2013-04-24
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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Problems solved by technology

[0004] At present, most of the parameter estimation methods for triangular linear frequency modulation continuous wave can only estimate part of the parameters of the signal. Some require a high signal-to-noise ratio, and some require that the signal sampling is exactly one modulation cycle. These methods are not very good. To solve the problem of feature parameter extraction of such signals

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  • Poly-phase code radar signal waveform automatic identification method based on continuous wave Doppler (CWD) feature
  • Poly-phase code radar signal waveform automatic identification method based on continuous wave Doppler (CWD) feature
  • Poly-phase code radar signal waveform automatic identification method based on continuous wave Doppler (CWD) feature

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Embodiment Construction

[0013] Assuming that the radar signal received by the reconnaissance receiver is mixed with additive white Gaussian noise (AWGN), and the signal has been processed into a baseband signal, the complex envelope of the received radar signal y(t) is as follows:

[0014] y(t)=x(t)+ω(t) (1)

[0015] Where x(t) is the complex envelope of the radar radiation signal (including only one symbol period), and ω(t) is the cyclic additive white Gaussian noise.

[0016] The phase-encoded complex signal of radar radiation is expressed as follows:

[0017] x ( t ) = Ae j ( 2 π f c t + φ i ) - - - ( 2 )

[0018] Among them, A is the signal amplitude, f c Is the signal carrier frequency, φ i It is a sequence of discrete phases of the signal, each phase has the same duration. The mathematical models of five polyphase coded radar signals to be studied are given below.

[0019] The Frank code signal is a step approximation to the LFM signal. It u...

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Abstract

The invention relates to a poly-phase code radar signal waveform automatic identification method based on continuous wave Doppler (CWD) feature and belongs to the technical field of information countermeasures. According to the poly-phase code radar signal waveform automatic identification method based on CWD feature, a discrete sampling type Choi-Williams conversion is used as a basic tool, a CWD image of poly-phase code pulse compression radar signal is used as a feature extraction object, a Pseudo-Zernike moment of the CWD image, a target number of an image, a time position of a peak power in a CWD and a poly-phase code waveform symmetrical property are taken as features to identify a poly-phase code pulse compression radar waveform, and a neural network which is composed of 10 perceptrons and stops in advance of overall average is set up for automatic waveform identification. The poly-phase code radar signal waveform automatic identification method based on CWD feature has the advantages that the identification precision of the poly-phase code radar signal waveform is improved, the requirement of a signal to noise ratio is further decreased, and a new way can be developed for the design of radar signal identification and sorting by popularized and used in a poly-phase code continuous wave radar signal.

Description

Technical field [0001] The invention relates to a method for automatically recognizing multiphase coded radar signal waveforms based on CWD characteristics, and belongs to the technical field of information countermeasures. Background technique [0002] In recent years, with the continuous deepening of research on polyphase coded radar signals, Frank codes and P1, P2, P3 and P4 code signals have appeared. In a sense, both Frank code and P1-P4 code signals belong to polyphase coded signals. Traditional reconnaissance receivers cannot realize effective identification of them. Research on how to effectively identify such signals has important theoretical research significance and engineering application value. [0003] The concept of the fractional Fourier transform was proposed as early as 1929, and was applied to the field of optics in the 1980s, and has become one of the research hotspots in the field of signal processing since the 1990s. Fractional Fourier transform can be under...

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Application Information

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IPC IPC(8): G01S7/02
Inventor 刘锋王泽众黄宇郑鹏张鑫徐会法向崇文
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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