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Matched correlation integral downsampling envelope detection method and system

A technology related to envelope detection and matching, which is applied in the field of detection and can solve problems such as data redundancy

Inactive Publication Date: 2017-06-13
INST OF ACOUSTICS CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] In order to solve the problem of Gaussian noise interference in the carrier signal and the data redundancy after the carrier signal is sampled during envelope detection, the present invention provides a method of envelope detection based on matching correlation integral downsampling. The method includes: construction and detection Carrier signal with the same frequency as the carrier signal, and shift the constructed sample signal to obtain several shifted sample signals with different phases; dot product a section of the carrier signal to be detected with the constructed sample signal and the sample shifted signal, and The largest dot product value is used as the envelope value of the signal to be detected, and the envelope value of each carrier signal is obtained accordingly; the detection is completed

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  • Matched correlation integral downsampling envelope detection method and system
  • Matched correlation integral downsampling envelope detection method and system
  • Matched correlation integral downsampling envelope detection method and system

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Embodiment 1

[0062] The present invention provides a method of envelope detection based on correlation integral downsampling, said method comprising the following steps:

[0063] First, the carrier is sampled to obtain discrete carrier data. According to the sampling frequency and the time to be integrated, the discrete carrier data is integrated and segmented. The integral segment can be slid in the form of a sliding window, or can be jumped in the form of a window. The schematic diagram of carrier sampling data and its integral segmentation is as follows: figure 1 as shown, figure 1 shows the position of the second integral segment (ie, integral segment 2) when the first integral segment (ie, integral segment 1) jumps 1 bit and jumps 6 bits, respectively.

[0064] Secondly, based on the sine or cosine signal with the same frequency as the carrier signal, according to the carrier frequency, carrier sampling frequency and integration time, generate sine or cosine sample set data and its c...

Embodiment 2

[0071] The present invention also can be realized before carrier signal sampling, and specific implementation means are as follows:

[0072] 1) According to the frequency of the carrier signal and the integration time, a set of sinusoidal sample signals with different initial phases whose frequency is the frequency of the carrier signal and whose duration is the integration time is generated;

[0073] 2) Realize the product of the carrier signal and multiple sinusoidal sample signals with different phases, and integrate the product signal. This integration time is the integration time mentioned in 1);

[0074] 3) Sampling the integral value of the product of each carrier signal and the sinusoidal sample signal of different phases, and taking the maximum value as the envelope detection value of the current time period;

[0075] 4) Similarly, the integral signal segment can also be moved back by sliding or jumping. The duration of the window signal is the integration time. When...

Embodiment 3

[0077] The present invention realizes based on Fourier transform, and specific implementation means are as follows:

[0078] 1) Sampling the carrier signal, the sampling frequency is not less than twice the highest frequency of the signal;

[0079] 2) Integrate and segment the carrier signal, and the number of data points in the integration segment is the sampling frequency multiplied by the integration time;

[0080] 3) Perform Fourier transform on the integral segment data;

[0081] 4) Perform band-pass filtering on the frequency domain data after Fourier transform, and filter out the out-of-band components of the carrier signal;

[0082] 5) Sum the different spectrum data after the band pass, and this sum is the envelope value of the current integration segment.

[0083] 6) The integration section also moves back in the form of a jumping window until the carrier signal processing ends.

[0084] Above-mentioned embodiment 1, embodiment 2 and embodiment 3 are based on foll...

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Abstract

The invention provides an envelope detection method and system based on matching with correlation integral. The method includes: step 101) based on a Nyquist sampling theorem, sampling a carrier signal whose center frequency is f with sampling frequency f<s> and sampling time t<samp>, and obtaining N discrete data; step 102) generating a sine or cosine signal whose frequency is f, sampling the sine or cosine signal according to the sampling frequency f<s> and integral time t, obtaining N<samp> sampled discrete data, then performing M times of circumferential shifting on elements in a sine sample set, and obtaining M shifting sample signal sets in total; step 103) selecting N<samp> continuous discrete data from the N discrete data, solving dot products of the discrete data and the sine sample set and the M shifting sample signal sets, obtaining M+1 dot product values, and taking a maximum value of these dot product values as an envelop value corresponding to the N<samp> discrete data; and repeating step 103) for several times, obtaining envelope values of a plurality of sets of N<samp> continuous discrete data, and completing detection.

Description

technical field [0001] The invention relates to the field of wave detection, in particular to a matching correlation integral down-sampling envelope detection method and system. Background technique [0002] In sonar, radar and radio communication systems, due to the limitations of sensors, antennas and other conditions, at the transmitter end, it is necessary to modulate low-frequency useful signals into high-frequency signals for transmission or use high-frequency signals for target detection; similarly, in At the receiver side, it is necessary to demodulate the low-frequency signal or target information modulated in the high-frequency signal. Traditional demodulation is realized by analog detection, but with the development of digital signal processing (DSP) technology and analog-to-digital conversion (A / D) technology, analog detection with poor versatility and flexibility is gradually being replaced by digital detection. replace. Digital detection needs to sample the c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/292G01S7/527H04L27/06
CPCG01S7/2923G01S7/5273H04L27/0014H04L2027/0024
Inventor 许彦伟侯朝焕鄢社锋
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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