Radar clutter time space adaptive pre-filtering method based on sparse recovery

Abstract

The invention discloses a radar clutter time space adaptive pre-filtering method based on sparse recovery, comprising steps of establishing an airborne phased control array radar clutter model, wherein the airborne phased control array radar receives clutter in a detection area in a coherent processing interval, calculating the clutter on a first distance ring, successively calculating the clutter on the first distance ring and a clutter covariance matrix, setting a matrix obtained through arranging a space time guiding vectors, obtaining the airborne phase control radar clutter rank, successively calculating the space time guiding vector and the sparse recovery clutter amplitude corresponding to the clutter on the basis of the sparse recovery, obtaining the coefficient matrix of the airborne phase control radar clutter canceller, performing pre-filtering on the received clutter, obtaining the clutter vector and the target vector, successively calculating a dimension reduction matrix corresponding to the clutter, a clutter dimension reduction vector and a target dimension reduction vector, and then obtaining the adaptive optional weight when the clutter in the airborne phase control matrix radar detection area performs dimension reduction.

Description

technical field [0001] The invention belongs to the technical field of airborne phased array radar clutter suppression, in particular to a radar clutter space-time self-adaptive pre-filtering method based on sparse recovery. Background technique [0002] In recent years, the increasingly complex modern combat environment has put forward higher and higher requirements for the stealth and mobility of radars, and the timeliness and accuracy of target detection, so airborne phased array radars have emerged as the times require. In turn, the monitoring range and early warning time of the airborne phased array radar are greatly improved, so that the airborne phased array radar can detect and identify the target from the powerful clutter background, and the premise of detecting the target is that the corresponding clutter The clutter in the background is suppressed as much as possible. Different from the ground-based radar, the airborne phased array radar moves relative to the gro...

AI Technical Summary

Problems solved by technology

In order to solve the problem of high computational complexity and the lack of a large number of independent and identically distributed samples, dimensionality reduction adaptive processing technology came into being, and the representative algorithms are Factored Approach (FA) algorithm, Extended Factored Approach (EFA) algorithm and local Joint domain processing (JDL) algorithm; FA algorithm, EFA algorithm and JDL algorithm can respectively reduce the demand for training samples and computational complexity, but there are also problems affecting the clutter suppression performance of the dimensionality reduction method due to the complexity of the actual situation. error

[0004] Reasonable use of prior knowledge will significantly improve the performance of space-time adaptive processing (STAP) methods, such as the two-pulse clutter canceller ( TDPC) can effectively suppress the main lobe clutter and side lobe clutter along the clutter trace, and the coefficients of the two-pulse clutter canceller can be stored and calculated separately offline, so only the relevant parameters of the clutter can be effectively suppressed wave and facilitate the subsequent use of space-time adaptive processing (STAP) method for target detection; but considering the number of range units required for the actual signal and the number of divisions of the actual signal along the azimuth angle, the two-pulse clutter canceller (TDPC ) requires a huge amount of clutter information to be stored, which not only leads to an increase in processing equipment, but also increases the difficulty and time of searching for the required information; at the same time, if the radar parameters used in the design of the two-pulse clutter canceller (TDPC) Mismatch with the actual radar parameters will degrade the performance of the two-pulse clutter canceller (TDPC)

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