Direct sequence spread spectrum signal compressing and sensing method based on LPS (Low-Pass Sinusoid) acquisition matrix

Abstract

The invention relates to a compressing and sensing technology, belongs to the field of communication signal processing, and particularly relates to a direct sequence spread spectrum signal compressing and sensing method based on an LPS (Low-Pass Sinusoid) acquisition matrix. The method utilizes an inherent sparseness of a direct sequence spread spectrum signal in a spread spectrum region and combines a compressing and sensing technology to collect signals. A special determined matrix is selected as a measuring matrix; a measured value keeps more signal energy and a signal to noise ratio loss caused by a low sampling rate can be reduced; and therefore, a recovering precision for recovering a signal from a compression region and a system performance are improved. Furthermore, from an engineering realization perspective, the realizing difficulty of the determined matrix is far smaller than a random matrix and the cost of the engineering realization is further reduced.

Description

technical field [0001] The invention relates to compressed sensing technology, which belongs to the field of communication signal processing, in particular to a direct sequence spread spectrum signal compressed sensing method based on an LPS acquisition matrix. Background technique [0002] According to the Nyquist sampling law, in order to receive the signal without distortion, the receiver needs to sample at a rate no lower than twice the highest frequency component of the signal. With the development of today's wireless communication systems, the bandwidth of the signal is getting wider and wider, which puts forward very high requirements on the front-end A / D of the receiver. In the direct sequence spread spectrum communication system, since the signal bandwidth is further broadened during the spread spectrum process, it becomes very difficult for the receiver to sample according to the Nyquist sampling law, which will increase the sampling cost and sampling complexity. ...

AI Technical Summary

Problems solved by technology

In the direct sequence spread spectrum communication system, since the signal bandwidth is further broadened during the spread spectrum process, it becomes very difficult for the receiver to sample according to the Nyquist sampling law, which will increase the sampling cost and sampling complexity

In addition, after spreading, even if the system can sample at the Nyquist rate, the amount of data collected will be quite large, which will consume subsequent digital processing resources and time

The traditional direct-sequence spread spectrum communication system still samples at the Nyquist rate. However, as the signal frequency increases, the sampling rate of the A / D part of the system begins to approach the physical limit, which will increase the design difficulty and increase the cost.

Images