Maximum absolute value cumulative mean and grid comparison-based adaptive bit cutting method

Abstract

The invention relates to a maximum absolute value cumulative mean and grid comparison-based adaptive bit cutting method, which is mainly applied to a direct sequence spread spectrum communication system and belongs to the field of communication signal processing. The method comprises the following steps of: segmenting a to-be-processed continuous signal; solving an absolute value of each segment of data, finding the maximum absolute value out and solving the cumulative mean value of the maximum absolute value, wherein the calculation method can save a large number of resources; designing a grid comparator according to to-be-cut bit and judging the cumulative mean value by the grid comparator to obtain a bit cutting mode; and cutting the bit of the data, splicing and transmitting to next stage for processing. In the method, the maximum absolute value of each segment of data does not need to be stored, so that a large number of resources are saved, the amount of calculation is reduced to a certain extent by solving the cumulative mean value by an approximate method, the sensitivity and the accuracy of bit cutting can be effectively improved by using the grid comparator, and the method can be suitable for various data types and can meet the requirements of real-time processing of communication systems.

Description

technical field [0001] The invention relates to an adaptive truncation method based on the cumulative average of the maximum absolute value and grid comparison, which is mainly applied to a direct sequence spread spectrum communication system and belongs to the field of communication signal processing. Background technique [0002] In the direct sequence spread spectrum communication system, in the process of digital signal processing, a large number of operations such as addition and multiplication are required. For example, the process of fft and ifft transformation will increase the processed signal, and the corresponding data bit width will also be corresponding increase. However, the data that can be processed by the receiver or the next level still maintains a fixed bit width, that is, the bit width is not increased, which requires reasonable truncation of the signal. [0003] Adaptive truncation technology is indispensable in any spread spectrum communication system....

AI Technical Summary

Problems solved by technology

[0012] In this method, it is necessary to store the maximum absolute value in each frame of data in order to obtain the corresponding cumulative average value. As the processing data increases, a large amount of memory resources will be consumed

The preset truncation judgment threshold can only guide the truncation to a higher bit, making the truncation scheme more conservative. The sensitivity and accuracy of this truncation method are very poor.

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