Pulse signal detection method based on multi-pulse envelope spectrum matching

A multi-pulse signal and pulse signal technology, which is applied in the field of signal processing, can solve the problems of poor ability to suppress noise, small amount of calculation, and non-smoothness, and achieve the effect of suppressing the influence of detection performance and improving the gain of signal-to-noise ratio.

Active Publication Date: 2020-02-28
SOUTHEAST UNIV
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The Hilbert transform method can extract the envelope of the signal. First, the original signal is converted into a complex analysis signal, and then the modulus value of the complex analysis signal is taken as the envelope of the signal. This method is based on FFT and is simple to implement. The amount of calculation is small, and the envelope extraction effect is good under high signal-to-noise ratio, but this method is carried out on the entire frequency range, and the ability to suppress noise is poor, and this method is very useful for envelope extraction of narrow-band carrier signals. However, for time-varying broadband signals, the Hilbert transform method will extract the high-frequency components in the signal at the same time, resulting in rough burrs

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Pulse signal detection method based on multi-pulse envelope spectrum matching
  • Pulse signal detection method based on multi-pulse envelope spectrum matching
  • Pulse signal detection method based on multi-pulse envelope spectrum matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0132] The simulation signal parameters are set as follows: signal amplitude A=1, initial phase Pulse width τ=1.0s, pulse period T=10.0s, multi-pulse signal first pulse arrival time τ 0 =0.256s, signal start frequency f 1 =300Hz, the signal stop frequency f 2 =300Hz, that is, the simulated signal is a narrow-band pulse signal, the number of sub-pulses is N=10, and the sampling frequency is f s =4096Hz, single cycle data points M 1 =40960, observation data sequence points L=NM 1 =409600, frequency resolution Δf=0.01Hz, signal-to-noise ratio SNR=5dB, m is the serial number of the sub-pulse.

[0133] According to step (2), calculate the discrete Fourier transform X(l) of the data sequence x(n).

[0134] In step (3), calculate the passband starting discrete frequency index k M = 27000, passband termination discrete frequency index k L =33000, the generated frequency domain filter coefficient is H(k)=2, 27000≤k≤33000;

[0135] According to steps (4) and (5), the multi-puls...

Embodiment 2

[0139] The simulation signal parameters are set as follows: signal amplitude A=1, initial phase Pulse width τ=1.0s, receiving signal duration T=10.0s, multi-pulse signal arrival time τ 0 =0.256s, signal start frequency f 1 =300Hz, the signal stop frequency f 2 =400Hz, that is, the simulated signal is a broadband pulse signal, the number of sub-pulses is N=10, and the sampling frequency is f s =4096Hz, observation data sequence points L=NM 1 =409600, frequency resolution Δf=0.01Hz, signal-to-noise ratio SNR=3dB, m is the serial number of the sub-pulse.

[0140] According to (2) step, calculate the discrete Fourier transform X (l) of described data sequence x (n);

[0141] In step (3), calculate the passband starting discrete frequency index k M = 27000, passband termination discrete frequency index k L =44000, the generated frequency domain filter coefficient is H(k)=2, 27000≤k≤44000;

[0142] According to steps (4) and (5), the multi-pulse signal envelope is extracted ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a pulse signal detection method based on multi-pulse envelope spectrum matching. The method comprises the following steps: step 1, acquiring a sampling data sequence of a to-be-processed pulse signal; 2, calculating discrete Fourier transform of a sampling data sequence; 3, generating filter parameters according to known pulse signal frequency parameters; 4, performing frequency domain filtering on the multi-pulse signal by utilizing the generated filter parameters; 5, extracting an envelope of the multi-pulse signal after frequency domain filtering; 6, calculating theamplitude spectrum of the envelope by using Fourier transform; and 7, carrying out detection judgment on the pulse signal by utilizing the multi-pulse signal envelope spectrum. According to the multi-pulse detection method, the pulse string signal envelope is extracted through frequency domain filtering, high signal-to-noise ratio gain can be obtained, the envelope spectrum of the multi-pulse signal is matched with the ideal periodic rectangular signal frequency spectrum, the matching result is detected and judged, the detection probability of the pulse signal can be improved, and the false alarm probability can be reduced.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a pulse signal detection method based on multi-pulse envelope spectrum matching. Background technique [0002] In the process of passive sonar signal processing, target signal detection is usually located at the front end, which is the premise of target recognition, classification and positioning. For single pulse signal detection, the characteristics of pulse signals in the time domain and frequency domain can be used to distinguish noise from signals, thereby Perform pulse signal detection. The features commonly used at present are: (1) Energy: Assuming that under the condition that noise and signal are uncorrelated, the energy of pure noise is considered to be less than the energy of noise plus signal, so it can be detected according to energy; (2) Signal-to-noise ratio : When the pulse signal arrives, the received energy will change significantly, and this change i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01S15/06
CPCG01S15/06G06F2218/02G06F2218/08
Inventor 方世良俞文慧姚帅王晓燕曹红丽
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap