Iterative joint channel estimation and detection of coded CPM

Brutel, C.; Boutros, Joseph J.; Mège, Philippe

doi:10.1109/izsbc.2000.829264

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…The new estimate b (n) at the nth step is then determined by applying (8a) and therefore by maximizing Λ( b, b (n−1) ), given by (17), with respect to b. The corresponding result is…”

Section: Em-based Synchronizationmentioning

confidence: 99%

“…Such an algorithm has been applied to various problems, as in [15], for instance, wherein it is used for channel and noise variance estimation in combination with optimal BCJR-based detection. The same is done in [16] in combination with a suboptimal filter-based equalizer and in [17] for a coded CPM system. In [18], channel gain, and delay estimation is performed in an uncoded CDMA system with a hard-output iterative serial interference canceller.…”

Section: Introductionmentioning

confidence: 99%

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A Theoretical Framework for Soft-Information-Based Synchronization in Iterative (Turbo) Receivers

Noels

Lottici

Dejonghe

et al. 2005

J Wireless Com Network

100

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This contribution considers turbo synchronization, that is to say, the use of soft data information to estimate parameters like carrier phase, frequency, or timing offsets of a modulated signal within an iterative data demodulator. In turbo synchronization, the receiver exploits the soft decisions computed at each turbo decoding iteration to provide a reliable estimate of some signal parameters. The aim of our paper is to show that such “turbo-estimation” approach can be regarded as a special case of the expectation-maximization (EM) algorithm. This leads to a general theoretical framework for turbo synchronization that allows to derive parameter estimation procedures for carrier phase and frequency offset, as well as for timing offset and signal amplitude. The proposed mathematical framework is illustrated by simulation results reported for the particular case of carrier phase and frequency offsets estimation of a turbo-coded 16-QAM signal.

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“…The new estimate b (n) at the nth step is then determined by applying (8a) and therefore by maximizing Λ( b, b (n−1) ), given by (17), with respect to b. The corresponding result is…”

Section: Em-based Synchronizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Theoretical Framework for Soft-Information-Based Synchronization in Iterative (Turbo) Receivers

Noels

Lottici

Dejonghe

et al. 2005

J Wireless Com Network

100

View full text Add to dashboard Cite

show abstract

“…In , 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 where the expectation–maximization (EM) algorithm is used to estimate the channel. The EM algorithm performs quite well in quasi‐static channels, but its iterative nature for refining one parameter by multiple observations makes it difficult to be applied for time‐varying channels .…”

Section: Introductionmentioning

confidence: 99%

Joint data detection and channel estimation for coded and uncoded continuous phase modulation signals

Wang

Abeysekera

2014

Wireless Communications

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The 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.

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“…Coded CPM, which can be regarded as a serial concatenation scheme, provides an attractive solution under these requirements based on the previously mentioned properties of CPM and serial concatenation principles [8], [9]. In this paper we consider the combination of turbo codes and CPM.…”

Section: Introductionmentioning

confidence: 99%

An Improved Method for the Convergence of Iterative Detection in Turbo-CPM System

Xue

Zhao

Zhang

2009

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing

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Based on the decomposed model of continuous phase modulation (CPM), CPM is divided into a continuous phase encoder (CPE) and a memoryless modulator (MM). Using the memorial and recursive character of CPE, combined with turbo code and random interleaver, the model of Turbo-CPM system is founded. In order to solve the problem of positive feedback during iteration with short frame, a method based on weighed extrinsic information exchange is proposed. Theoretic analysis and simulation results show that the proposed method can not only prevent the phenomena of positive feedback from taking place, reduce the error floor and improve the performance of BER under the condition of low SNR, but also reduce the average number of iteration and enhance the real-time. Furthermore, the method can avoid the conversion from probability to likelihood ratio and its inversion in the process of transferring extrinsic information, and reduce the complexity of decoding algorithm.

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Iterative joint channel estimation and detection of coded CPM

Cited by 9 publications

References 9 publications

A Theoretical Framework for Soft-Information-Based Synchronization in Iterative (Turbo) Receivers

A Theoretical Framework for Soft-Information-Based Synchronization in Iterative (Turbo) Receivers

Joint data detection and channel estimation for coded and uncoded continuous phase modulation signals

An Improved Method for the Convergence of Iterative Detection in Turbo-CPM System

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