Abstract
Joint channel estimation and decoding in a time-varying Rayleigh fading channel is considered. Knowing that the optimal design has an exponential complexity which hinders the practicability, a reduced complexity approach is proposed. This approach keeps the existing channel estimation and decoding schemes almost intact, while applying the turbo or iterative processing principle to enable information exchange between them. Thus the complexity is rendered linear; and the filter adaptability can be easily established. We apply this approach to two commonly used modulation schemes for noncoherent detection, namely, pilot symbol assisted modulation (PSAM) and differential modulation, with the intention to overcome certain disadvantages seen in their demodulation. It turns out that the performance is improved and the robustness is enhanced. In this paper, we first give the system descriptions of the two applications. Their performances are then simulated and compared with the existing systems. To reveal the tradeoffs in practical applications, the two new designs are also compared with each other in terms of throughput, complexity, performance, and robustness.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
