A wideband multi-signal detection method

Abstract

The invention is applied to the technical field of radio electronics and Telecommunications, and particularly relates to a multi-signal detecting method for a broadband. The multi-signal detecting method for the broadband comprises the following steps of: a. collecting signals of ADC (analog to digital converter) at a high speed; b. carrying out non-blind area digital channelization to the collected signals; c. splicing and computing the broadband frequency spectrum of the signals subjected to non-blind area digital channelization, and obtaining the frequency spectrum; and d. carrying out multi-signal detection to the spliced frequency spectrum. By adopting the multi-signal detecting method, detection of communication signals of the broadband is realized; and as for a typical multi-communication-signal broadband application condition in which the signal to noise ratio is 12 dB and the broadband is 1 GHz (gigahertz), the detecting time is only 200 milliseconds, the detection probability is higher than 95 percent, and the false-alarm probability is lower than 1 percent.

Description

technical field [0001] The invention is applied to the technical fields of radio electronics and telecommunication, and is specifically a method for detecting broadband multi-signals. Background technique [0002] With the development of communication technology, especially the rise of various new communication systems in recent years, signal detection technology has been widely used in the communication field. The existing signal detection method is mainly realized by FFT (Fast Fourier Transform), that is, after the data acquisition is completed, the data is first stored in the local cache, and then slowly read from the cache and completes the FFT transformation to realize signal detection presence or absence, and get an estimate of carrier frequency and bandwidth. Due to the serial working mode of this structure, it is difficult to take into account the processing speed and spectral resolution index, because the serial working mode mainly stores first and then performs FF...

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Problems solved by technology

Due to the serial working mode of this structure, it is difficult to take into account the processing speed and spectral resolution index, because the serial working mode mainly stores first and then performs FFT, so it is difficult to improve the frequency resolution due to the limitation of storage depth and the number of FFT points, and is limited by the memory Processing speed limitations make it difficult to achieve higher rates

Moreover, the existing signal detection methods usually use a single threshold for judgment, which is prone to false alarm detection. Due to the fluctuation of the spectrum, the detection threshold is affected by noise, and there will be small glitches, so there will be false alarms, which cannot meet the requirements of modern communication systems. Fast and accurate requirements for detection performance

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