Fast noise cancellation filtering method

Abstract

The invention discloses a fast noise cancellation filtering method. The method is particularly suitable for filtering received signals in the high-speed intersection process of two targets, such as the intersection process of a missile and the targets. The method comprises the following steps: S1, selecting a noise gate and an echo gate; S2, sampling signals (noise) in the noise gate and the echo gate; S3, carrying out noise summation and averaging; S4, performing phase inversion on the noise; and S5, carrying out additive operation. According to the fast noise cancellation filtering method provided by the invention, only a video switch and simple noise cancellation are used, so that the problem of complex operation in the previous noise cancellation process can be solved, the complexity of general signal processing operation is reduced and the filtering rapidity is improved under the condition that the filtering precision requirement is met; and the filtering speed and the requirement on the performance of the signal processing module can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a fast noise cancellation filtering method. Background technique [0002] In the process of air defense missile approaching the target, when the missile radar seeker and radar fuze perform signal processing on the receiver, high requirements are put forward for the rapidity of filtering and the miniaturization of the signal processing module. In the past signal processing, especially the most important filtering method, the algorithm is too complex, the working time is long, and the hardware and software are complicated, which reduces the reliability and cannot meet the requirements of rapidity. [0003] The filtering method based on noise cancellation is a commonly used filtering method. Generally divided into two categories: linear algorithms and nonlinear algorithms. Both methods have advantages and disadvantages. The nonlinear method has relatively high precision...

AI Technical Summary

Problems solved by technology

This algorithm is a linear algorithm, and its basic idea does not exceed the scope of general linear algorithms. It still needs to find the optimal step size through intelligent optimization, and there are also problems such as slow convergence speed of step size factor, even divergence, and slow calculation speed.

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