Front end for sensing cognitive radio frequency spectrum and frequency spectrum sensing method

Abstract

The invention discloses a front end for sensing a cognitive radio frequency spectrum, which consists of an analog front end and a digital front end. The front end for sensing the congitive radio frequency spectrum is characterized in that the analog front end consists of an antenna, a radio-frequency band-pass filter, a low-noise amplifier and an analog to digital converter which are connected sequentially; the digital front end consists of a channel filter, a digital local oscillator, a low-pass filter and a sampling rate conversion which are connected sequentially; and the analog-to-digital converter is connected with the channel filter. The invention also discloses a method for sensing the cognitive radio frequency spectrum. The front end for sensing the cognitive radio frequency spectrum of the invention is designed based on a band-pass sampling software radio platform most with flexibility, not only meets the requirement that the analog-to-digital converter is as close as possible to the antenna, but also is practical and feasible.

Description

technical field [0001] The invention relates to a front end and a spectrum sensing method for cognitive radio spectrum sensing, and belongs to the research field of cognitive radio and software radio. Background technique [0002] The demand for new wireless communication systems is growing rapidly, but the existing spectrum available for wireless communication is increasingly scarce, and spectrum has become an increasingly scarce and precious resource. It is widely believed that we are running out of available spectrum resources. However, research by the Federal Communications Commission of the United States shows that at any time and any place, most of the authorized and valuable spectrum is not being used, but is in an idle state. On the one hand, wireless spectrum resources are becoming increasingly scarce, and on the other hand, the utilization rate of the spectrum that has been authorized for use by various wireless communication systems is very low. [0003] Cogniti...

AI Technical Summary

Problems solved by technology

Although we have made great progress in MEMS technology, allowing us to dynamically adjust parameters during operation, such highly selective passband-tunable RF bandpass filters are still unrealizable at present

Bandpass filters are typically the most expensive components in an RF module, while also being the least flexible

In other words, it is currently impossible to use a bandpass filter in the radio frequency band to directly obtain a dynamically changing narrowband signal and suppress out-of-band interference deeply enough

[0006] Therefore, due to the complex environment faced by spectrum sensing and the limitations of hardware technology, although the spectrum detector based on the band-pass sampling software radio receiver platform can obtain the greatest flexibility, it also faces great challenges

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