Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Object detection method and apparatus based on self-adaptive frequency domain noncoherent accumulation

A technology of non-coherent accumulation and target detection, which is applied in the field of target detection methods and devices based on adaptive frequency-domain non-coherent accumulation, to achieve stable performance, reduce the number of accumulations, and improve the output signal-to-noise ratio

Active Publication Date: 2015-02-04
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF7 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a target detection method and device based on adaptive frequency-domain non-coherent accumulation in view of the shortcomings of the existing frequency-domain non-coherent accumulation method that the number of accumulations is fixed. Adaptively adjust the number of accumulations, reduce the amount of calculation in the accumulation process, and improve real-time detection performance

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
  • Object detection method and apparatus based on self-adaptive frequency domain noncoherent accumulation
  • Object detection method and apparatus based on self-adaptive frequency domain noncoherent accumulation
  • Object detection method and apparatus based on self-adaptive frequency domain noncoherent accumulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0048] refer to Figure 1 ~ Figure 2 As shown, the target detection method based on adaptive frequency-domain non-coherent accumulation described in the embodiment of the present invention includes the following steps:

[0049] (1) two threshold values ​​T11=16dB, T12=12dB of setting first level threshold, two threshold values ​​T21=16dB, T22=13dB of setting second level threshold, initialization second level threshold T2= 0;

[0050] (2) Calculate the frequency domain data of the input signal, as follows:

[0051] For an input signal x(n) of N points (N is an integer power of 2) in a frame, N point data X(k) is obtained after FFT transformation:

[0052] X ( k ) = Σ n = 0 N ...

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 an object detection method and apparatus based on self-adaptive frequency domain noncoherent accumulation. The method comprises: first of all, carrying out FFT and operation on the input signals of a frame of an N point to obtain frequency domain data; then calculating an input signal-to-noise ratio SNR1 before accumulation of the frequency domain data; comparing the SNR1 with a first-stage threshold, determining whether to accumulate the frequency domain data, and obtaining output data; if the SNR1 is greater than the first-stage threshold, not performing the accumulation; if the SNR1 is smaller than the first-stage threshold, determining a second-stage threshold through the SNR1, performing the accumulation by use of an improved frequency domain noncoherent mode, and when an output signal-to-noise ratio reaches the second-stage threshold, stopping the accumulation; then performing autocorrelation operation on output data to obtain object data; and finally, performing peak detection on the object data, and taking a frequency point corresponding to the maximum spectrum value as an object frequency point. According to the invention, the noncoherent accumulation frequency is determined and adjusted through the signal-to-noise ratios before the accumulation and after the accumulation, the relaizaiton is simple, the disadvantage of fixed accumulation frequency by use of a conventional method can be overcome, the computational complexity is effectively reduced, and the real-time detection performance is improved.

Description

technical field [0001] The invention belongs to the field of radar signal processing, in particular to the field of single target detection and processing under the condition of low signal-to-noise ratio and uniform noise background distribution, and in particular to a target detection method and device based on adaptive frequency-domain non-coherent accumulation. Background technique [0002] The accumulation method is a classic method of radar signal detection and processing, which is suitable for the detection of weak signals under low signal-to-noise ratio. Through a period of signal accumulation, under the condition of time permitting, theoretically, periodic signals can continuously improve the signal-to-noise ratio, and quasi-periodic signals can also be processed according to their own characteristics after certain compensation. For time-domain accumulation, the key to signal processing technology lies in the alignment of the time envelope, that is, cycle alignment; ...

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): G01S7/41
CPCG01S7/2927G01S7/354
Inventor 薛伟童蓬荣霞陈振兴
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products