A qpsk-ds communication detection method based on delay multiplication

Abstract

The invention discloses a QPSK-DS communication detecting method based on delay multiplication. A system is initialized and begins to scan a target frequency band to amplify signals entering the system from the radio frequency front end, radio frequency signals are converted into fixed middle frequency to be amplified through a difference frequency method, digital signals can be achieved through analog-digital conversion, delay multiplication operation is carried out, digital lowpass filtering is carried out to obtain lowpass signals, and a frequency spectrum of the lowpass signals can be achieved through an FFT algorithm. The QPSK-DS communication detecting method has the advantages of adopting a linear and non-linear processing method to achieve full detection on QPSK-DS communication through simple comprehensive analysis and processing on time frequency domains and being simple to achieve, strong in operability and strong in capacity adapting to low signal to noise ratio. Meanwhile, the method adopts the middle frequency analysis instead of radio frequency or baseband processing to avoid high requirements for performance of processing capacity of a receiver as possible. Furthermore, the method can achieve real-time processing easily and is strong in practicability.

Description

technical field [0001] The invention relates to a QPSK-DS communication detection method based on delay multiplication. Background technique [0002] The specific characteristics of the existing spread spectrum signal detection and processing methods are as follows: 1) Most of the research is carried out at the baseband level, but in practice it is extremely difficult to directly demodulate and restore the baseband signal from an unknown signal; 2) Most of them use high-order statistics Quantitative method or cyclic feature analysis method, the algorithm implementation needs to search in multi-dimensional space, the calculation amount is large, the algorithm implementation is complicated, and the storage and computing power requirements of the receiver system are too high, so that it cannot be realized or cannot be realized in real time; 3) more Most researches are carried out on BPSK-DS communication, and the specific methods are not suitable for the detection of QPSK-DS co...

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Problems solved by technology

[0002] The specific characteristics of the existing spread spectrum signal detection and processing methods are as follows: 1) Most of the research is carried out at the baseband level, but in practice it is extremely difficult to directly demodulate and restore the baseband signal from an unknown signal; 2) Most of them use high-order statistics Quantitative method or cyclic feature analysis method, the algorithm implementation needs to search in multi-dimensional space, the calculation amount is large, the algorithm implementation is complicated, and the storage and computing power requirements of the receiver system are too high, so that it cannot be realized or cannot be realized in real time; 3) more Most of the research is carried out on BPSK-DS communication, and its specific methods are not suitable for the detection of QPSK-DS communication; 4) Often only a specific aspect of communication signal detection is discussed, and it is impossible to achieve a comprehensive detection and estimation of QPSK-DS communication

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