A method for identification of commonly used satellite communication digital modulation modes

Abstract

The invention discloses a commonly used satellite communication digital modulation method identification method, which is applied in the field of communication digital signal processing. In view of the fact that the current domestic and foreign signal modulation identification methods require more prior knowledge, it is difficult to achieve full-blind modulation identification and the algorithm complexity is relatively high. High, not easy to realize by hardware, and it is difficult to achieve high throughput and high concurrent real-time modulation identification and other issues. The present invention combines the peak-to-average ratio and flatness according to the different characteristic information of the M-th power spectrum of conventional digital modulation signals. coefficients to identify different commonly used modulation methods; in addition, the M-th power spectrum estimation module is reused in actual engineering applications, while reducing hardware overhead, the system clock frequency can be as high as 250MHz, and the throughput rate is 250Msps, achieving high throughput and high concurrency real-time modulation recognition.

Description

technical field [0001] The invention belongs to the field of communication digital signal processing, and in particular relates to spectrum sensing, feature parameter extraction and modulation mode identification based on cognitive radio or non-cooperative communication. Background technique [0002] The modulation mode of the communication signal is an important feature to distinguish the communication signal. To understand the information content of the communication signal, the information acquirer must know the modulation mode and modulation parameters of the signal. The modulation identification of communication signals refers to judging the modulation mode used by the signal and estimating some modulation parameters under the premise of unknown modulation information content and modulation parameters, so as to provide a parameter basis for the demodulator to correctly select the demodulation algorithm, and finally The process of obtaining useful information content. H...

AI Technical Summary

Problems solved by technology

[0005] The methods mentioned above have the following disadvantages: 1. The extraction of applicable characteristic parameters often requires more prior knowledge, and it is difficult to achieve full-blind modulation recognition; 2. The algorithm is complex, not easy to implement in hardware, and difficult to achieve high throughput High concurrent real-time modulation recognition

Images