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Multi-channel FRI undersampling method for radar echo signals in non-ideal environment

A radar echo and non-ideal technology, applied in the field of signal processing, can solve the problem of low parameter estimation accuracy, achieve the effect of improving estimation accuracy and reconstruction accuracy

Active Publication Date: 2021-04-30
ZHEJIANG UNIV OF TECH
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  • Application Information

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Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art, aiming at the problem that the existing radar signal FRI sampling method has low parameter estimation accuracy in non-ideal environments such as noise and non-ideal effects of physical components, the present invention proposes a radar in a non-ideal environment Multi-channel FRI under-sampling method for echo signals. This method adopts the sampling structure of multi-channel frequency mixing and filtering to obtain multiple groups of discretely distributed Fourier coefficient information of radar emission pulse signals and radar echo signals respectively, and uses the obtained samples to Correlation among them, eliminating the influence of non-ideal effects of filters, and then realizing high-precision estimation of target parameters

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  • Multi-channel FRI undersampling method for radar echo signals in non-ideal environment
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  • Multi-channel FRI undersampling method for radar echo signals in non-ideal environment

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Embodiment Construction

[0079] The present invention will be further described below in conjunction with the accompanying drawings.

[0080] refer to figure 1 and figure 2 , a radar echo signal multi-channel FRI undersampling method in a non-ideal environment, comprising the following steps:

[0081] Step 1, the reception modeling of the radar echo signal, considering the scene where the active pulse radar detects L static point targets, the radar transmit pulse is h(t), then the single periodic echo signal received by the radar receiver is expressed as:

[0082]

[0083] Among them, t∈[0,T) is the observation time, Indicates the pulse repetition period, are the time delay and amplitude parameters of the radar echo signal, which respectively represent the scattering coefficient and distance information of the target at the measured point; assuming the time delay parameter t of the target l are located on the discretized time grid, that is, t l =Tn / N, where N is the number of time grids, an...

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Abstract

Provided is a multi-channel FRI undersampling method for radar echo signals in a non-ideal environment. The method adopts a multi-channel mixing and filtering sampling structure to respectively obtain multiple groups of discrete Fourier coefficient information of radar emission pulse signals and radar echo signals, and utilizes the correlation between the obtained samples to obtain the multi-channel FRI undersampling method for radar echo signals in a non-ideal environment. And the influence of the non-ideal effect of the filter is eliminated, so that high-precision estimation of target parameters is realized. Simulation experiments show that the method provided by the invention can eliminate the non-ideal effect of the filter and estimate the target parameter information with high precision, and compared with the existing radar signal FRI sampling method, the method provided by the invention has higher parameter estimation precision in a non-ideal environment and better noise immunity and stability of the system.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a multi-channel FRI under-sampling method for radar echo signals in a non-ideal environment. Background technique [0002] In the field of signal processing technology, the Nyquist sampling theorem requires that the sampling frequency of the signal must be greater than twice the frequency domain of the signal, so that the original signal can be reconstructed from the sampled samples. With the development of modern radar technology, the signal in the radar field is usually characterized by high bandwidth. If you still use the Nyquist sampling theorem to sample it, you need a high sampling frequency. For the design of the analog-to-digital converter (ADC) and subsequent Digital signal processing and transmission processes bring enormous pressure. In addition, very high-speed ADC devices are difficult and expensive to manufacture, so Finite Rate of Innovation (FRI for sho...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/418
Inventor 黄国兴陈林林张世铭卢为党张昱
Owner ZHEJIANG UNIV OF TECH