Method and device of detection of signal of 60GHz millimeter wave communication system

Abstract

The invention provides a novel signal detection scheme aiming at a 60GHz millimeter wave non-linear communication system, wherein the scheme is based on the Bayesian statistical inference mechanism, and capable of effectively solving the problems of system nonlinear distortion and frequency selective multipath fading, and achieving united blind estimate of channel gains and source signals. The method of the detection of the signal of the 60GHz millimeter wave communication system designs an important function applied to the nonlinear system and therefore overcomes the limits of the nonlinear characteristics to the traditional bayes method, further approaches an actual probability distribution function (PDF) through a series of dispersed particles with weights based on the thoughts of the Monte Carlo sequential importance sampling (MC-SIS), and finally utilizes the particle filtering technology to achieve real-time estimating and multi-channel iteration replacement of code element signals (shown in a attached diagram). The method and the device of the detection of the signal of the 60GHz millimeter wave communication system can be applied to the detection of signals of the nonlinear system, improve transmission performance of the system, need no training sequence, and at the same time can achieve the real-time estimating and detection of the signals.

Description

technical field [0001] Aiming at the signal detection problem in the 60GHz millimeter wave nonlinear communication system, the invention designs and proposes a new joint estimation algorithm of channel gain and signal source signal. Based on the idea of ​​Monte-Carlo Sequential Importance Sampling (MC-SIS), the algorithm sequentially estimates the posterior probability through a series of discrete particles with weights, and realizes the optimal detection of signals; at the same time, according to The nonlinear equalization form in the 60GHz communication system uses the Taylor series expansion idea to introduce the linearization model into the particle filter design, which effectively solves the nonlinear problem and realizes the joint estimation of the source signal and channel gain. belongs to the field of communication. Background technique [0002] With the increasing requirement for short-distance high-speed wireless communication, 60GHz millimeter wave communication ...

AI Technical Summary

Problems solved by technology

One is to reduce the distortion of the signal by directly reducing the transmission power. This method is simple and easy, but this power back-off method (output power back-off, OBO) will cause the signal to noise ratio (signal to noise, SNR) , thereby reducing the anti-interference performance of the system, so the OBO method can only alleviate the signal distortion problem to a certain extent, but it cannot fundamentally improve the signal transmission performance of the system with nonlinear devices; another solution can be summarized as linearization technology, this method is complex and difficult to implement in practice

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