Identification And Prediction Of Wireless Channel Based On Neural Network

At first, This paper analyzes transmission characteristic of wireless channel, and deeply research mobile channel model. Since conventional channel model be considered as a linear time invariant channel, although, some research works continues to deeper research, and model linear time-varying channel. But, with the development of increasing mobile consumer and serves, frequency and time multiplexing maximize control mode in these models, including, consumes' online video serve. So these aggravate linear and nonlinear distortion of signal transmission. Now, these rough models can't meet application need, and they are obsolete by a 11 appearance. We apply these conventional to process these multi-signal, high-speed data and multi-carrier transmission signals, it can't meet mobile consumers' need at all. These requests need new model and signal processing to solve it. So we present based on neural network (ran) signal processing methods. Because of nn's many merits, this subject has a good application foreground. Mobile channel and electric wave transmission have had many subjects of principle analysis and field measurement, and attained useful results. In these subjects, some give accurate mathematic description, others give statistic models, many subjects still need to research now, for example, it's impossible to apply single mathematic model to describe all mobile environment.Because nn have learning ability, fault-tolerant ability or robustness, and can implement nonlinear mapping input to output, nn obtain extensive use in the nonlinear signal processing, hereinto, nn can detect and avoid signal's deep fading in the wireless channel transmission, it can degrade data transmission error rate, and increase data transmission rate. For upward reasons, we present that nonlinear time-varying channel be identified by RNN. RNN is a new network architecture. At the same time, we also present that communication signal be processed by BP algorithm. Of course, it is a new subject. This paper also present that nn combine others prediction models, that is, combination prediction.In a word, this paper presents that nn is applied to wireless communicationsystem, particularly, in the wireless channel. Signal processing based on nn is a new promising subject and different signal processing field.