Abstract
AbstractThe performance of decision‐directed approach for joint data detection and channel estimation for continuous phase modulation (CPM) signal is limited because of an inevitable decision delay, which results in a trade‐off between data detection and channel estimation. In this paper, a novel hard output demodulation that solves the conflict requirement on the decision delay by predicting the channel coefficients over a given observation interval through a Kalman filter is proposed for uncoded CPM signal. The prediction guarantees high channel tracking capability and meanwhile maintains the accuracy of data detection. The proposed hard output demodulator is further extended to design a soft‐input soft‐output demodulator for serially concatenated CPM signal, which allows iterative processing. The convergence behavior of the proposed iterative receiver is presented. Simulation results show that the proposed demodulators provide improved performance in terms of bit error rate over some existing algorithms. Copyright © 2014 John Wiley & Sons, Ltd.
Highlights
Bandwidth limitations have motivated considerable investigations into continuous phase modulation (CPM) techniques for communication systems [1]
Extensive simulations for CPM signals transmitted over a time-varying flat fading channel are performed to analyze the performance of the proposed demodulators
We first proposed a hard output demodulator that addressed the problem of joint data detection and channel estimation for uncoded CPM signals transmitted over time-varying flat fading channels
Summary
Bandwidth limitations have motivated considerable investigations into continuous phase modulation (CPM) techniques for communication systems [1]. The existing DD approaches to CPM demodulation fall into two categories: single estimation processing (SEP) [5] and per-survivor processing (PSP) [6] Both of them are based on the use of Viterbi algorithm (VA) operating over a trellis diagram. In [13], it has been shown that the PSP-based SISO-FO algorithm performs better than the SISO-FB algorithm for CPM signals Another SISO demodulator has been addressed in [14] where the expectation–maximization (EM) algorithm is used to estimate the channel. Motivated by the performance improvement brought by SISO demodulators as analyzed earlier, the proposed hard output demodulator for uncoded CPM signals is extended to a SISO demodulator for SCCPM signals over an unknown time-varying flat fading channel.
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