Method for compressing detection signal data of missile-borne detector

Abstract

The invention discloses a method for compressing detection signal data of a missile-borne detector, and the method comprises the steps: carrying out the wavelet decomposition of waveform data obtained by the missile-borne detector, and decomposing an original signal into a multi-stage wavelet coefficient and a first-stage scale coefficient; secondly, performing low-bit wide quantization on the high-frequency coefficient and the low-frequency coefficient obtained through decomposition to obtain a quantized wavelet coefficient and a quantized scale coefficient; and the quantized wavelet coefficient and scale coefficient are used for storage and transmission of a missile-borne transmission system. And finally, a receiving end performs wavelet reconstruction by using the quantized wavelet coefficient and the scale coefficient to obtain a reconstructed signal subjected to data compression. According to the method, effective data compression can be realized on the condition that basic information of the signal acquired by the missile-borne detector is not lost, and the resource overhead of data storage and transmission is reduced.

Description

technical field [0001] The invention belongs to signal processing technology, in particular to a method for compressing detection signal data of a missile-borne detector. Background technique [0002] The missile-borne detector generates an analog signal during the detection stage, and the one-dimensional waveform data is obtained after being collected by the 16-bit ADC of the missile-borne computer. Due to the long detection time of the projectile and the high sampling rate of the on-board computer ADC, the obtained one-dimensional waveform data has a large amount of data, which is inconvenient for data storage and data transmission. The hardware resources are limited in the missile-borne environment, and it is not convenient to use complex algorithms to compress and process signals with a large amount of data. [0003] In the article "Design and Implementation of a Certain Type of Missile-borne Data Acquisition System", Ke Xingli compresses the data collected by the missi...

AI Technical Summary

Problems solved by technology

Due to the long detection time of the projectile and the high sampling rate of the ADC of the missile-borne computer, the obtained one-dimensional waveform has a large amount of data, which is inconvenient for data storage and data transmission

Hardware resources are limited in the bomb-loaded environment, and it is not convenient to use complex algorithms to compress and process signals with a large amount of data

[0003] In the article "Design and Implementation of a Certain Missile-borne Data Acquisition System", Ke Xingli compressed the data collected by the missile-borne detector based on the LZW compression algorithm. The LZW algorithm needs to dynamically create a dictionary according to the input data. For waveforms with a large amplitude range Signal, the compression effect is restricted by the chip's internal memory capacity, algorithm complexity and real-time performance

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