Sample-training-based non-stationary clutter suppression method of vehicle-mounted radar

A non-stationary clutter, airborne radar technology, used in radio wave measurement systems, instruments, etc., can solve problems such as large computational load and complex implementation process, and achieve the effect of suppressing clutter, small computational load, and conducive to detection

Inactive Publication Date: 2013-04-03
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

[0005] At present, most of the methods to solve the problem of clutter distance dependence at home and abroad are realized by preprocessing the range echo data (or its frequency domain) and compensating the difference between the traini...

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  • Sample-training-based non-stationary clutter suppression method of vehicle-mounted radar

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Embodiment Construction

[0033] A kind of airborne radar non-stationary clutter suppression method based on sample training of the present invention, the processing flow block diagram is as follows figure 1 shown, including:

[0034] (1) The clutter covariance matrix is ​​estimated by the joint time dimension sample training strategy based on the segmented sub-CPI time domain dimensionality reduction structure. This part starts with the multi-channel original echo signal processing of array radar, that is, range-wise pulse compression and windowing, which is consistent with the implementation process in radar imaging. Adaptive algorithms based on statistical signal processing need to calculate the covariance matrix of the received data in order to obtain matched filter weights to achieve adaptive processing. Therefore, whether the clutter covariance matrix is ​​accurately estimated determines the space-time adaptive processing. performance, and sample training is an indispensable step. The sample tr...

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Abstract

The invention discloses a sample-training-based non-stationary clutter suppression method of a vehicle-mounted radar, which relates to vehicle-mounted radar technology. The method comprises the steps of estimation of a clutter covariance matrix based on combined time-dimension sample training strategies, application of a self-adaptive weight, and coherence stack to output signals. The method specifically comprises the following steps of: inputting raw echo data; compressing and windowing pulses in a distance dimension; segmenting slow-time-dimension data; selecting quick-slow time dimension training samples; estimating the clutter covariance matrix; calculating and applying the self-adaptive weight; and carrying out coherence stack on the output signals. According to the method, the sample training strategies are changed under an STAP (space-time adaptive processing) time domain dimension reducing structure in light of the clutter range dependence of the vehicle-mounted radar, thus the estimation precision of the clutter covariance matrix can be effectively improved, and the clutter suppression performance of a main lobe is improved as well. The sample-training-based non-stationary clutter suppression method shows high robustness in engineering application, and is particularly applicable to detection on a slow moving object.

Description

technical field [0001] The invention relates to a dimensionality reduction adaptive non-stationary clutter suppression method under the condition that airborne radar generally has clutter distance dependence in practical applications. Its main content is to propose a new sample training strategy, which belongs to the airborne radar space-time Adaptive signal processing (STAP) technical field. Background technique [0002] In recent years, with the rapid development of array antenna technology and radar signal processing technology, space-time adaptive processing (STAP), as the core technology of moving target detection in a new generation of advanced radar systems, combines pulse Doppler (PD) radar and phase The advantage of the control array antenna is that it adopts a two-dimensional joint adaptive processing method of space and time, which can effectively suppress widely distributed large-intensity ground clutter and interference signals. The breakthrough of its theory a...

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Application Information

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IPC IPC(8): G01S7/41
Inventor 吕晓德赵耀东金威
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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