Adaptive forgetting factor-based clutter image update method and apparatus

Abstract

The invention belongs to the data processing field and relates to an adaptive forgetting factor-based clutter image update method and apparatus. The objective of the invention is to solve problems existing in the prior art. According to the adaptive forgetting factor-based clutter image update method, a forgetting factor is determined adaptively through similar measurement degree of observation values of clutter map units relative to historical clutter estimated values, and the determination steps of the forgetting factor are provided; when a signal to clutter ratio changes randomly, the adaptively variable forgetting factor can track the change rule of the signal to clutter ratio; a false alarm rate is maintained, and the stability of a clutter map is maintained. The adaptive forgetting factor-based clutter image update method includes the following steps that: delta theta and delta rho in a two-dimensional clutter map are set, and the sizes of the azimuth and range of clutter map units are respectively integer multiples of the sizes of the azimuth and range of a radar distinguishing unit, and a two-dimensional clutter map space is divided into a plurality of clutter map units delta S; in a clutter map establishment phase, radar original video signals are adopted as input, and a unit maximization method is adopted to perform intra-pulse processing; and after clutter map establishment is completed, the clutter map is updated through adopting a unit averaging method.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and device for updating a clutter map based on an adaptive forgetting factor. Background technique [0002] As an important implementation method of Constant False Alarm Rate (CFAR), clutter map constant false alarm processing, forming a stable clutter map is one of the keys to research the suppression technology of ground clutter and solve the problem. The research of is mainly focused on the practical implementation, because there are still a series of practical problems to be solved properly in order to obtain a high-quality, controllable clutter map, especially for the dynamic update of the clutter map and the gain of the receiver signal. The gain control map of the control refreshes these two problems, which is of practical significance for improving the intelligent control of radar signal processing, and is also the trend of clutter map research [1]. The clutter map...

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Problems solved by technology

In practical application scenarios, the signal-to-clutter ratio in each resolution unit of the radar is different, and the signal-to-clutter ratio of the same unit will also change with time, so a fixed forgetting factor cannot achieve the best detection performance.

[0008] (2) It is difficult to obtain good detection performance by updating the clutter map with a fixed forgetting factor

Due to factors such as clutter flickering and edge effects, the signal-to-clutter ratio in the clutter area is not constant, but changes randomly over time. Even if the optimal forgetting factor is obtained, once the signal-to-clutter ratio changes, it is difficult to maintain false alarms. rate, the probability of detection will also decrease

[0009] (3) Participating in the update with a fixed forgetting factor is not conducive to the stability of the clutter map

When the signal-to-clutter ratio fluctuates greatly, the observed value of a certain clutter map unit will change drastically. If the update clutter map with a fixed forgetting factor is used, the estimated value of the clutter map unit will be increased, affecting the clutter map unit. Portogram Stationarity

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