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Optimal rear Doppler clutter rejection method for reconstructed reference channel

A clutter suppression and reference channel technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as unsatisfactory processing performance, and achieve the effect of improving detection performance

Active Publication Date: 2014-05-21
XIDIAN UNIV
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Problems solved by technology

The Filter-then-Adapt (F$A) method proposed by Brennan can achieve quasi-optimal processing performance under the condition of target-oriented precise matching, but it can achieve non-optimal processing performance under the condition of imprecise matching. In optimal processing, the processing performance of the F$A method is not ideal

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  • Optimal rear Doppler clutter rejection method for reconstructed reference channel
  • Optimal rear Doppler clutter rejection method for reconstructed reference channel
  • Optimal rear Doppler clutter rejection method for reconstructed reference channel

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Embodiment Construction

[0037] The present invention will be further explained below in conjunction with the drawings:

[0038] Reference figure 1 , Is a schematic flowchart of a post-Doppler optimal clutter suppression method for reconstructing a reference channel of the present invention. The post-Doppler optimal clutter suppression method for reconstructing the reference channel includes the following steps:

[0039] S1: Use the airborne early warning radar to receive the echo data. The echo data received by the airborne early warning radar includes the first range unit to the Q-th range unit, and Q is a natural number greater than 1. The airborne early warning radar receives echo pulse data (raw data) corresponding to each range unit through multiple receiving channels, and preprocesses the echo pulse data received by each receiving channel. Preprocessing the echo pulse data received by each receiving channel includes: sequentially performing distance compression, quadratic term compensation, and Do...

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Abstract

The invention belongs to the technical field of airborne early warning radar ground moving target detection, and discloses an optimal rear Doppler clutter rejection method for a reconstructed reference channel. The optimal rear Doppler clutter rejection method comprises the steps of performing sliding window processing on the pulse data of each receiving channel in time domain by aiming at each distance unit; performing azimuth Fourier transform on the corresponding data of each receiving channel after the sliding window processing; performing time domain combination by aiming at a first receiving channel, and then uniting the data of other receiving channels to construct the corresponding data vectors of all distance units; getting a covariance matrix and a clutter rejection weight according to an optimal matching guidance; and finally, performing clutter rejection on all distance units by using the obtained clutter rejection weight.

Description

Technical field [0001] The invention belongs to the technical field of airborne early warning radar (AEW) ground moving target detection, and particularly relates to a post-Doppler optimal clutter suppression method for reconstructing a reference channel. Background technique [0002] In modern warfare, mastering air supremacy is an important guarantee for winning the war, and early warning aircraft play a pivotal role in it. In previous wars, early-warning aircraft showed great power, which was valued by more people. The core of this early-warning aircraft system is the airborne early warning (AEW) radar. [0003] In the field of AEW radar signal processing, since Brennan proposed the space-time adaptive processing (STAP) framework in 1973, this space-time two-dimensional adaptive processing method has attracted people's attention, but because of this "optimal processor" The dimensionality of is too high, making it difficult to implement, so various quasi-optimal processing metho...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/2813G01S7/414
Inventor 廖桂生杨志伟董烁烁曾操黄鹏辉
Owner XIDIAN UNIV
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