DSSS signal detection identification method

Abstract

The invention provides a DSSS signal detection identification method, comprising the steps of: 1, calculating the power spectrum of a received signal, performing logarithm operation on the power spectrum, using a logarithm operation result as a detection signal, and using the power spectrum of the detection signal as a detection spectrum; 2, filtering the detection spectrum; 3, searching filtered signals for a maximum value Vmax, and calculating the mean value Vmean of the filtered signals; 4, using the ration between the Vmax and the Vmean as a detection characteristic value E, i.e., E= Vmax / Vmean; and 5, comparing the E with a preset threshold value ethreshold, and determining the received signal to be a DSSS signal if E>ethreshold. The method fully utilizes the frequency domain and time domain periodicity of pseudo-code components in the DSSS signal, and employs the logarithm operation to increase the discrete components lost in continuous quantity, thereby reducing the noise influence to performance identification; the method is easy to realize, and has high signal identification efficiency.

Description

technical field [0001] The invention relates to the field of communication signal processing, in particular to a method for detecting and identifying direct spread signals, which is used to distinguish conventional communication signals from direct spread signals. Background technique [0002] The detection and identification of communication signals is one of the key technologies in the field of single satellite electronic reconnaissance. The task of signal detection and identification is to determine whether there is a useful signal in the received signal, and to identify the modulation mode of the signal. The detection and recognition process may be disturbed by noise, and some modulation information needs to be known. Effective detection and identification can provide a basis for follow-up work such as demodulation, analysis, or interference. [0003] Most of the early detection and identification methods were to change the received high-frequency signal to intermediat...

AI Technical Summary

Problems solved by technology

But this kind of method also has some problems. For these methods, the conventional communication signal and the direct spread signal have similar characteristics, so although these methods can detect whether the signal exists, they cannot distinguish whether the target signal is a conventional signal or a direct spread signal. Signals, which means that methods of this class are susceptible to regular signals

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