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A Parameter Estimation Method for High Dynamic Signal Based on Delay Correlation Function

A delay correlation, signal parameter technology, applied in the reflection/re-radiation of radio waves, instruments, measurement devices, etc., can solve the problems of low dynamic parameter estimation accuracy, short delay time, and no consideration, and improve the dynamic parameter estimation resolution. High speed, high real-time performance, and small storage capacity

Active Publication Date: 2020-05-22
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] The above method does not consider the impact of residual distance migration after delay correlation, so there are constraints on the size of dynamic parameters
Moreover, this method adopts the processing method of adjacent delay correlation, the delay time is short, and the accuracy of dynamic parameter estimation is low.
Therefore, in order to eliminate the constraints on dynamic parameters and improve the estimation accuracy of ACCF, it is necessary to improve the method. As far as the content of the present invention is concerned, there have been no reports at home and abroad

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  • A Parameter Estimation Method for High Dynamic Signal Based on Delay Correlation Function
  • A Parameter Estimation Method for High Dynamic Signal Based on Delay Correlation Function
  • A Parameter Estimation Method for High Dynamic Signal Based on Delay Correlation Function

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Embodiment Construction

[0029] First, the principle of the parameter estimation method based on the delay correlation function of the present invention is as follows:

[0030] Under multi-order dynamics, without considering the noise interference, the received baseband signal can be expressed as

[0031]

[0032] in, T p is the pulse width, f c is the carrier frequency, γ is the modulation frequency, T r is the pulse repetition interval, t m =mT r is the slow time, t s =t-t m is the fast time, and N is the highest dynamic order. Distance R(T k )for:

[0033]

[0034] Among them, a 0 is the initial distance between the radar and the target, a 1 , a 2 ,...,a N The target dynamic parameters of each order respectively.

[0035] Calculate the first-order delay correlation function R of the received signal 1

[0036]

[0037] in,

[0038]

[0039] τ 1 is the fast time dimension delay variable, q 1 is the slow time dimension delay variable.

[0040] k-order delayed correlati...

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Abstract

The objective of the invention lies in proposing a parameter estimation method based on a time delay correlation function, and the method comprises the steps: eliminating residual range migration through KT transformation after time delay correlation; compensating for the range migration and Doppler frequency migration caused by the high-order dynamic in an iteration process in a mode of frequency domain compensation through a high-order dynamic parameter estimation result; and improving the parameter estimation precision through the designing of a delay variable of time delay correlation. The method is suitable for the dynamic parameter estimation of a radar signal.

Description

technical field [0001] The invention relates to a method for estimating parameters of dynamic signals, which is particularly suitable for estimating signal parameters in low carrier-to-noise ratio and high dynamic environments, and belongs to the field of radar signal processing. Background technique [0002] The estimation accuracy of dynamic parameters of moving targets affects the effect of radar moving target detection and high-resolution radar imaging. In order to improve the parameter estimation accuracy of the target, the signal-to-noise ratio is usually improved by means of coherent accumulation. During the coherent accumulation time, the high dynamics of the target motion will cause the range migration and Doppler frequency migration of the radar echo signal, which will cause a serious loss of signal-to-noise ratio and affect the performance of parameter estimation. [0003] The parameter estimation method based on generalized Radon Fourier transform (GRFT) can eli...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/285G01S7/35G01S7/40G01S13/50
CPCG01S7/285G01S7/352G01S7/4021G01S13/50
Inventor 申宇瑶汪文韬王永庆吴嗣亮于秀丽马淑芬张春
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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