Method Of Wireless Channel Estimation Based On The Gain Differential Probability

The theory and technology of signal detection and signal estimation is indispensable in the adaptive control system,the nonlinear time-varying signals in the system estimation field,mobile channel estimation is the most representative,at the same time,the theoretical method covers Monte Carlo conditions and then it has universalityIn the wireless communication system,wireless channel have time-varying characteristic and random characteristic.In the development of the 5G,the signal transmission rate is more and more large,the fading of wireless signal is more obvious in time domain and frequency domain.Although the 5th generation mobile networks greatly promoted the development of wireless communication system,it greatly increases the complexity of the system,and increases the computational difficulty of channel estimation.Therefore,how to guarantee the quality of communication in such a bad environment has become an urgent problem to be solved in the realm of wireless communication.In this paper,three kinds of channel estimation methods are summarized,such as blind channel estimation,channel estimation based on pilot signal and semi-blind channel estimatio.At the same time,we deduced the LS,ML and MMSE,and found that most of the estimation methods have large amount of calculation and high complexity,therefore,it is necessary to find a simple structure and small amount of calculation of the channel estimation method.Through the deep research in mobile wireless channel characteristics,this paper establishes a spatial fading simulation program based on the Rayleigh channel model,and through mathematical calculations to find the best set length.On this basis,based on the probability of channel estimation method for channel estimation by using the existing difference,we found that with the increasing of the differential values statistical step and the spatial sampling interval,the existing methods have been unable to track the deep fading region,and the peak area tracking excessive,resulting in the decreased of overall tracking performance of fading curves.Accordingly,this paper presents the method of wireless channel estimation based on the quadratic differentials probability.Firstly,we must find the value point and peak point decline curve of the valley,then through the introduction of the quadratic differentials probability to improve the estimated differential values of the deep fading area and peak area.Finally,the estimated gains were obtained by the difference operation.The simulation results show that the proposed method can effectively track the deep fading region and the peak area,and greatly reduce the tracking error.The new method mentioned in this paper is simple to calculate the difference and the difference probability.Compared with the traditional channel estimation,the complexity and the computation in the system has greatly reduced.Finally,the full text of the research content is summarized.Of course,the development of science and technology is endless,we hope that subsequent scholars can do a deeper study based on this method.Therefore,the future work of the proposed method is explained.