A Bandwidth Efficient Pilot Symbol Technique for Coherent .ppt
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1、A Bandwidth Efficient Pilot Symbol Technique for Coherent Detection of Turbo Codes over Fading Channels,Matthew C. Valenti Dept. of Comp. Sci. & Elect. Eng. West Virginia UniversityBrian D. Woerner Mobile and Portable Radio Research Group Bradley Dept. of Elect. & Comp. Eng. Virginia Tech,Overview,T
2、urbo codes. Practical problems over fading channels. Methods for detecting turbo codes over fading channels. DPSK-based Pilot-based Improved pilot-symbol techniques Iterative channel estimation parity-symbol stealing,Turbo Codes,Features: Parallel Code Concatenation Can also use a serial concatenati
3、on Nonuniform interleaving Recursive systematic encoding Usually RSC convolutional codes are used. Can use block codes. Iterative decoding algorithm. Max-log-MAP log-MAP SOVA,Turbo Encoder,The data is encoded twice by two identical RSC encoders A nonuniform interleaver changes the ordering of bits a
4、t the input of the second encoder. MUX increases code rate from 1/3 to 1/2.,Encoder #1,Encoder #2,Nonuniform Interleaver Length L,MUX,Input,Parity Output,Systematic Output,Constraint length K Recursive Systematic Convolutional (RSC) Encoder,Iterative Decoding,One decoder for each elementary encoder.
5、 Estimates the a posteriori probability (APP) of each data bit. Extrinsic Information is derived from the APP. Each decoder uses the Log-MAP algorithm. The Extrinsic Information is used as a priori information by the other decoder. Decoding continues for a set number of iterations.,Decoder #1,Decode
6、r #2,DeMUX,Interleaver,Interleaver,Deinterleaver,systematicdata,parity data,Extrinsic Information,Extrinsic Information,hard bit decisions,Turbo Codes for Fading Channels,Many channels of interest can be modeled as a frequency-flat fading channel. Fading: channel is time-varying Flat: all frequencie
7、s experience same attenuation Because of the time-varying nature of the channel, it is necessary to estimate and track the channel. Channel estimation is difficult for turbo codes because they operate at low SNR. Questions: How do turbo codes perform over fading channels? How can the channel be esti
8、mated in a turbo coded system? Goal is to develop channel estimation techniques that take into account the iterative nature of the decoder.,turbo encoder,channel interleaver,symbol mapper,pulse shaping filter,fading,AWGN,matched filter,channel estimator,channel deinterl.,turbo decoder,symbol demappe
9、r,transmitter,channel,receiver,Input data,Decoded data,System Model,Fading Channel Types,X(t), Y(t) are Gaussian random processes. Represents the scattering component Autocorrelation: Rc() A is a constant. Represents the direct LOS component Types of channels AWGN: A=constant and X(t)=Y(t)=0 Rayleig
10、h fading: A=0 Rician fading: A 0, =A2/22 Correlated fading: Fully-interleaved fading:,Channel Estimation for Turbo Codes,The turbo decoding algorithm requires accurate estimates of channel parameters. Branch metric:Noise variance: Fading amplitude: Phase: (required for coherent detection) Because tu
11、rbo codes operate at low SNR, conventional methods for channel estimation often fail. Therefore channel estimation and tracking is a critical issue with turbo codes.,The Phase Ambiguity Problem,If the receiver is operating at low SNR, accurate estimates of the phase n will not be available. A proact
12、ive solution to the phase ambiguity problem is required. Use DPSK. Differential detection Multiple-symbol differential detection. Use a pilot. Pilot tone. Pilot symbol.,DPSK for Turbo Codes,One solution is to use DPSK. When differential detection is used, a severe loss in performance is noted. 4.5 d
13、B loss for turbo codes in Rayleigh fading Called the noncoherent combining loss. Not a viable option. However, multiple-symbol differential detection can be used to approach coherent performance. Considered for convolutional codes in: P. Hoeher and J. Lodge, “Iterative encoding/demodulation of coded
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