Radar target detection method based on sparse Fourier transform

A sparse Fourier and Fourier transform technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of reducing the amount of calculation and low calculation efficiency.

Inactive Publication Date: 2016-05-11
ZHONGBEI UNIV
View PDF4 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to overcome the low operation efficiency and improve the estimation accuracy, a sparse Fourier transform (SFT) has been proposed in the literature. This method improves the filter, improves the estimation accuracy, and further reduces the amount of calculation. Key researches of foreign and foreign scholars

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
  • Radar target detection method based on sparse Fourier transform
  • Radar target detection method based on sparse Fourier transform
  • Radar target detection method based on sparse Fourier transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Embodiment 1. Radar target detection method based on sparse Fourier transform

[0068] The specific situation of the radar target detection method based on sparse Fourier transform in this example is given by Figure 1 ~ Figure 3 Jointly shown. The specific implementation steps of the radar target detection method based on sparse Fourier transform in this example are as follows: Step 1, wideband signal acquisition, for the chirp wideband radar, the echo signal of the target is collected, and the distance between the target and the radar is obtained as :

[0069]

[0070] In formula (1), s(nT) transmits the signal, r(nT) is the echo signal, R represents the distance between the target and the radar, in meters; τ is the echo delay, in seconds; n is the number of pulse sampling points; T is the sampling time interval, the unit is second; c is the electromagnetic wave propagation speed, the unit is m / s, '*' here represents the mathematical operation symbol of conjugate...

Embodiment 2

[0102] Embodiment 2. Radar target detection method based on sparse Fourier transform

[0103] The specific situation of the radar target detection method based on sparse Fourier transform in this example is given by figure 1 , Figure 4 Jointly shown. The specific implementation steps of the radar target detection method based on the sparse Fourier transform in this example are as described in Embodiment 1. The eight steps in total, and the detection process is also as follows figure 1 A total of 13 processes described in, will not be repeated. The radar system in this example is: the carrier frequency is 10GHz, the transmit signal bandwidth is 150MHz, the pulse repetition frequency is 300Hz, the pulse width is 5μs, the sampling frequency is 150MHz, the number of accumulated pulses is 16, the target distance is 40-100 kilometers from the radar, and the target signal-to-noise The ratio is -4dB. On the basis of Embodiment 1, this example further verifies the consumption of t...

Embodiment 3

[0104] Embodiment 3. Radar target detection method based on sparse Fourier transform

[0105] The specific situation of the radar target detection method based on sparse Fourier transform in this example is given by figure 1 , Figure 5 Jointly shown. The specific implementation steps of the radar target detection method based on the sparse Fourier transform in this example are as described in Embodiment 1. The eight steps in total, and the detection process is also as follows figure 1 A total of 13 processes described in, will not be repeated. The radar system in this example is: the carrier frequency is 3GHz, the transmission signal bandwidth is 2MHz, the pulse repetition frequency is 100Hz, the pulse width is 10μs, the sampling frequency is 2MHz, the target distance is 40-100 kilometers from the radar, and the target signal-to-noise ratio is set to -10dB. On the basis of Embodiment 1 and Embodiment 2, this example further verifies the detection performance of the method ...

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 radar target detection method based on the sparse Fourier transform. The detection method comprises 8 steps and 13 detection processes of firstly carrying out Fourier transform on emission signals and echo signals; separating positions of targets with near frequency by use of the sequence rearrangement method; carrying out target separation by use of a filter; by use of Fourier transform results of segmentation signals, determining delay positions and frequency of the targets and carrying out target detection by use of the Fourier transform. The detection method is advantageous in that a problem of huge operand during coherent processing of broadband signals or long-time accumulated signals is overcome; meanwhile, due to rational selection of threshold values and segmentation lengths of the signals, detection probability and calculation speed in the low signal to noise ratio of the targets can be achieved and improved in a project; and he detection method has a quite high actual application value and worthy of adoption and promotion.

Description

technical field [0001] The radar target detection method based on sparse Fourier transform disclosed by the present invention belongs to the technical field of radar target detection, and specifically relates to a method for detecting targets in high signal-to-noise ratio and low signal-to-noise ratio situations by using sparse Fourier transform , to solve the problem of large amount of calculation formed by broadband signals and long-term accumulation, improve the calculation speed of the detection target, and leave sufficient reaction time for the follow-up system. Background technique [0002] As we all know, Fast Fourier Transform (FFT) is the most important algorithm in the field of digital signal processing, and its operation time is proportional to the length of the input signal o(nlog 2 n). However, in many applications, only a small part of the Fourier coefficients of the analyzed signal is useful, and most of them can be ignored, so the Fourier output of the signa...

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
CPCG01S7/41
Inventor 侯慧玲史瑞根庞存锁王明泉曲喜强
Owner ZHONGBEI 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