tailieunhanh - Adaptive Filtering Applications Part 10

Tham khảo tài liệu 'adaptive filtering applications part 10', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 262 Adaptive Filtering Applications of ANFIS was introduced by . Jang in his seminal paper in Jang 1993 . It may be noted that the equalization of wireless mobile channels is a non-linear problem so that a nonlinear solution such as ANFIS is more appropriate. One has to design the fuzzy if-then else rules based on the channel characteristics namely variances of signal noise co-channel CO and adjacent channel interferences ACI as well as the transmitted signal input -received signal output mapping. The equalizer is a non-linear system that effectively undoes the aberrations done to the transmitted signal by the channel due to the noise and co-channel and adjacent channel interferences. Now the modeling a non-linear system is fairly complex so that conventional methods of system identification techniques cannot be applied to find the inverse system. One possible experimental method to develop a model for indoor wireless channel viz. the channel impulse response CIR is to carry out expensive channel sounding for example one could use the RUSK channel sounder from RF Sub Systems GmBH which would cost over a hundred thousand dollars . In this article we attempt to supplant the expensive channel sounding technique for mobile wireless channel that too not restricted to the indoor case by suitable simulation techniques. Introduction to ANFIS Functionally there are almost no constraints on the node functions of an adaptive network except piecewise differentiability. Structurally the only limitation of network configuration is that it should be of feedforward type. Due to these minimal restrictions the adaptive network s applications are immediate and immense in various areas. For simplicity we assume the fuzzy inference system under consideration has two inputs X and 1 and one output z Jang 1993 . Suppose that the rule base contains two fuzzy if-then rules of Takagi and Sugeno s type Rulel If X is Al and y is Bl then fl plx qly rl. 2 Rule2 If X is A2 and y is B2 .

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