Electromagnetic spectrum monitoring receiver signal automatic detection method

Abstract

The invention discloses an electromagnetic spectrum monitoring receiver signal automatic detection method, which comprises the steps of signal enhancement representation and ensemble learning discrimination, wherein the signal enhancement representation is used for solving a local mean difference, a local median difference and a local morphological processing difference of a spectrum of each signal under different scales, and then an enhanced representation matrix is formed; and the integrated learning discrimination comprises branch detector learning and integrated detector learning, and is implemented by forming a signal detection training sample set by using the enhanced representation matrix of a plurality of signals at first, allocating sample subsets to train branch detectors and recording a detection result, then constructing an ensemble learning training sample set by using a detection result and training an ensemble detector, and after training of the integrated detector is completed, the branch detectors and the ensemble detector are combined, and the ensemble detector outputs a final automatic signal detection result. The electromagnetic spectrum monitoring receiver signal automatic detection method has relatively high signal characterization capability and signal identification capability, so that good signal detection accuracy and stability can be realized.

Description

technical field [0001] The invention relates to the field of electromagnetic spectrum monitoring receivers, in particular to an automatic signal detection method for electromagnetic spectrum monitoring receivers. Background technique [0002] In the electromagnetic spectrum monitoring task, it is necessary to detect the signal of interest from a wide range of spectrum to provide the basis for subsequent signal analysis, demodulation and recording operations. The traditional signal detection work is mainly done manually by the staff, which has high requirements on the staff's operation level and signal recognition level, and the detection results are easily affected by the subjective factors of the staff and are unstable. In addition, the speed of manual signal detection is slow, which cannot meet the needs of rapid detection under signal-intensive conditions. Therefore, automatic signal detection functions are increasingly important for electromagnetic spectrum receivers. ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the existing technology cannot effectively distinguish between signals and complex strongly fluctuating spectrum backgrounds, resulting in low detection accuracy, the present invention provides an automatic signal detection method for electromagnetic spectrum monitoring receivers to improve the effectiveness of automatic signal detection

Images