Signal detection algorithm under low signal-to-noise ratio condition

Abstract

The invention discloses a signal detection algorithm under a low signal-to-noise ratio condition. The detection algorithm comprises the steps that: (1), a random resonance system is used as the front end of an energy detector; random resonance is generated when an input signal y(t) and a resonance noise signal n<0>(t) pass through the random resonance system; the energy of resonance noise is converted into user signal energy; and a signal r<SR>(t) is output; (2), according to the output signal r<SR>(t) obtained in the step (1), the detection output statistical amount T(r)<SR> of the random resonance system is calculated; and (3), wherein both the detection statistical amounts T(r)<SR_ED> under the conditions of H<0> and H<1> obey noncentral chi-square distribution; if N is high enough, the two approximately obey normal distribution; and the false alarm probability and the correct detection probability can be obtained.

Description

technical field [0001] The invention relates to an energy signal detection algorithm based on stochastic resonance technology, in particular to a new algorithm for double-threshold signal detection based on stochastic resonance technology. Background technique [0002] The increasing demand for wireless spectrum resources in communication systems has led to increasingly tight spectrum resources, which is a bottleneck problem restricting the development of wireless communications. The rapid growth of current data communication services increasingly requires communication networks to have higher throughput and spectrum efficiency. The current networking mode of 4G wireless communication networks realizes full frequency multiplexing. In the case of full frequency reuse, since all base stations transmit on the same frequency, there will be serious mutual interference between adjacent cells. For the user in the center of the cell, the distance between itself and the base station...

AI Technical Summary

Problems solved by technology

[0003] In wireless communication networks, there are many signal detection methods, among which the implementation based on energy detection is simple and easy to implement, but because it is extremely susceptible to interference such as channel multipath fading and shadowing effects, the probability of correct detection varies with the signal-to-noise ratio The weakening and rapid decline, the signal detection performance is very poor at low signal-to-noise ratio

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