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Distance-Doppler estimation method based on improved adaptive multi-pulse compression

A Doppler estimation and self-adaptive technology, applied in the field of self-adaptive range-Doppler estimation, can solve the problems of low computation, good estimation performance, performance loss, etc. Estimation Results, Suppressing Effects of Range-Doppler Sidelobes

Inactive Publication Date: 2015-07-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

Compared with AMPC, FAMPC reduces the amount of calculation, but at the same time causes a significant performance loss in range Doppler estimation
These algorithms cannot take into account the problem of low computation and good estimation performance.

Method used

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  • Distance-Doppler estimation method based on improved adaptive multi-pulse compression
  • Distance-Doppler estimation method based on improved adaptive multi-pulse compression
  • Distance-Doppler estimation method based on improved adaptive multi-pulse compression

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Embodiment Construction

[0026] The present invention mainly adopts the method of computer simulation for verification, and all steps and conclusions are verified and confirmed on MATLAB-R2010a.

[0027] Among them, M=32 coherent pulses are transmitted, and the transmission waveform is a linear frequency modulation signal with sampling points N=32, bandwidth B=4MHz, duration τ=4μs, center frequency f c = 1 GHz and pulse repetition interval PRT = 1 ms. The additive noise power introduced by the receiver is 1W.

[0028] In a multi-target scene, the range of Doppler estimation range is distance processing window length L=100, and the number of Doppler units is N f =128. There are 12 Swerling-0 type targets where the distance unit, speed and signal-to-noise ratio are shown in the table below:

[0029] Table multi-pulse scene target parameters

[0030] Target

distance unit

Velocity (m / s) / Normalized Doppler

Amplitude(dB)

1

30

30 / 0.2

5

2

35

30 / 0.2 ...

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Abstract

The invention provides a distance-Doppler estimation method based on improved adaptive multi-pulse compression. The distance-Doppler estimation method includes: performing distance image estimation on an echo signal corresponding to each pulse by applying a gain constrained adaptive pulse compression (GCAPC) algorithm; performing Doppler estimation on a result of each distance unit corresponding to acquired distance image estimation by applying a GCAPC algorithm; expressing Doppler estimation to be a distance-Doppler plane. Compared with existing adaptive multi-pulse compression (AMPC) algorithms, the distance-Doppler estimation method has the advantages that distance-Doppler estimation effect similar to AMPC is realized through smaller calculation quantity. Calculation quantity needed by the adaptive multi-pulse compression algorithm during distance-Doppler estimation is reduced while distance-Doppler sidelobe is inhibited better.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, in particular to an adaptive range-Doppler estimation technology in the radar signal receiving and processing technology. Background technique [0002] With the development of military equipment in recent years, a large number of low-reflection cross-sectional area RCS aircraft such as stealth aircraft, unmanned aerial vehicles, and cruise missiles are used in modern warfare, and the target echo energy is significantly reduced, resulting in a reduction in radar detection distance, shortened warning time, and The tracking accuracy is reduced, which seriously reduces the detection performance of the radar. In order to improve the radar detection performance by increasing the signal-to-noise ratio, the most commonly used method is that the pulse Doppler radar obtains the range-Doppler plane by performing matched filtering and Doppler processing on the coherent pulse-echo signal. How...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 崔国龙杨亚王佰录李溯琪黎亮易伟卢术平孔令讲杨晓波
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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