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RLS adaptive filtering method for open shock wave target scoring system

An adaptive filter and adaptive filter technology, applied in the field of signal processing, can solve problems such as difficult implementation, low estimation accuracy, and large calculation mean square error, and achieve simple implementation conditions, high estimation accuracy, and good cancellation ability Effect

Pending Publication Date: 2020-03-24
昆山九毫米电子科技有限公司
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Problems solved by technology

[0004] The 60th Research Institute of the General Staff of the Chinese People's Liberation Army applied for the patent document "Horizontal Array Ultrasonic Automatic Target Reporting System" (application number CN200410014100.6, application date 2004.02.19, authorization announcement number: CN100392344C, authorization announcement date : 2008.06.04) discloses a kind of automatic target reporting equipment that can be used in indoor and outdoor shooting ranges. In the signal processing circuit, the target reporting system uses a band-pass filter to filter the noise. This filtering method is mainly used in indoor It has a better effect in the closed target reporting system, but because the outdoor target reporting site environment may be relatively harsh, a large number of noise signals sometimes cover up or even annihilate the projectile shock wave signal, and the ordinary band-pass filter is insufficient for signal processing. Flexibility, it can only achieve effective denoising for some frequency bands, it is difficult to adapt to complex environments in different situations, and the filtering effect is poor
[0005] For the noise signal processing in the open target reporting system in the outdoor complex environment, Wu Xueli et al. Microcomputer Information, 2009 (20): 156-157+170.) Using the LMS adaptive filter to denoise the projectile shock wave signal, but the LMS algorithm applied to the adaptive filter has a slow convergence speed and low estimation accuracy. The mean square error of the calculation is large, and when the environmental noise is not a stationary random signal, it is difficult for the LMS algorithm to adaptively track the external noise interference of the change of statistical characteristics, which affects the filtering effect
In addition, it is difficult to obtain the desired shock wave signal input and the noise-related reference noise input during application, and the implementation of the method is difficult and the conditions are harsh

Method used

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  • RLS adaptive filtering method for open shock wave target scoring system
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  • RLS adaptive filtering method for open shock wave target scoring system

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Embodiment 1

[0035] Because the traditional manual target reporting has problems such as poor target reporting accuracy, low efficiency, and poor safety, the shock wave automatic target reporting system has been more and more widely used. In the shock wave reporting system, the projectile shock signal processing It is an important part of the target reporting system. Today's shock reporting system uses traditional classical filtering methods to filter noise in the signal processing circuit. This filtering method is mainly used in indoor closed target reporting systems. However, due to the harsh environment of outdoor reporting targets, a large number of noise signals sometimes conceal or even annihilate the projectile shock wave signal. However, traditional classical filtering methods lack flexibility in signal processing and can only achieve The effective denoising of some frequency bands is difficult to adapt to the complex environment in different situations, and the filtering effect is p...

Embodiment 2

[0053] The RLS adaptive filtering method for the open-type shock report target system is the same as that in Example 1. The delay processing of the noisy projectile shock signal d(n) described in step 2 is to delay d(n) by K The shock wave signal x(n) of the noisy projectile is obtained after sampling intervals:

[0054] x(n)=s(n+K)+v(n+K)

[0055] The basic adaptive filter should take the noisy shock signal as input, and the purer shock signal with strong correlation with the shock signal component in the noisy shock signal as the desired signal; or take the noisy shock signal as the desired signal The signal, the reference noise signal with strong correlation with the noise component in the noisy shock signal is used as an input to form an adaptive noise canceller. However, since the noise signal and the projectile shock signal are mixed together in the application of the target reporting system, it is difficult to separately obtain the signal related to the shock component or t...

Embodiment 3

[0058] The RLS adaptive filtering method used in the open shock wave reporting system is the same as that in Example 1-2. The introduction of variable forgetting factors described in step 4 is to introduce a variable forgetting factor into the cost function of the RLS algorithm. And the variable forgetting factor is as follows:

[0059] The estimation error in the RLS algorithm is defined as: e(i)=d(i)-w T (n)x(i)

[0060] In the formula, d(i) represents the expected signal at time i, w(n) is the weight coefficient of the adaptive filter and w(n)=[w 0 (n), w 1 (n),..., w L-1 (n)], L is the filter order. In the present invention, taking L to 10 has a good effect. The interval of the change time i is 1≤i≤n, and i is a unit subdivided equally by the length of the projectile signal sampling time n. T is the transpose flag, and x(i) represents the input of the adaptive filter at time i.

[0061] Cost function J(n):

[0062] The cost function in the RLS adaptive filter is the sum of the s...

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Abstract

The invention discloses an RLS adaptive filtering method for an open-type shock wave target scoring system, and solves the problems that a filtering frequency band is limited, the method is difficultto adapt to a complex environment and a reference signal of a noisy shock wave signal is difficult to obtain in the prior art. The method comprises the steps of collecting noisy projectile shock wavesignals; processing delay of noisy projectile shock wave signals; setting an adaptive filtering initial value; and updating the filter weight coefficient based on an RLS algorithm of the variable forgetting factor, and outputting the denoised shock wave signal. The invention further constructs an RLS adaptive filtering system which is sequentially connected with the delayer, the RLS adaptive filter and the differencing device. According to the invention, the delay signal of the noisy shock wave signal is used as the reference input of the adaptive filter, and the RLS adaptive filtering based on the variable forgetting factor is used for the signal processing of the shock wave target reporting system, so that the method has the advantages of simple implementation condition, adaptation to environmental change, high convergence speed and high precision. The device is used for an open-type shock wave target-scoring system.

Description

Technical field [0001] The present invention belongs to the technical field of signal processing, and mainly relates to shock wave signal processing, in particular to an RLS adaptive filtering method for an open shock wave reporting target system. The invention can be used to filter and denoise the projectile shock wave signal of the shock wave reporting system, and further improve the reporting accuracy of the shock wave reporting system. Background technique [0002] In many sports and training nowadays, shooting is an indispensable item, but the traditional manual reporting of targets has many shortcomings, such as poor precision, low efficiency, waste of human resources and even certain hidden safety hazards. And other issues. Therefore, the research on automatic target reporting systems has gradually increased, mainly including double-electrode short-circuit target reporting systems, photoelectric electronic target systems, image processing-based camera reporting systems an...

Claims

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Application Information

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IPC IPC(8): H03H21/00
CPCH03H21/00
Inventor 钱海雷王泽
Owner 昆山九毫米电子科技有限公司
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