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Low-Complexity Near-Optimum Multiple-Symbol Differential Detection of DAPSK Based on Iterative Amplitude/Phase Processing

Wang, Li and Hanzo, Lajos (2011) Low-Complexity Near-Optimum Multiple-Symbol Differential Detection of DAPSK Based on Iterative Amplitude/Phase Processing IEEE Transactions on Vehicular Technology

Record type: Article


Differentially encoded and non-coherently detected transceivers exhibit a low complexity, since they dispense with complex channel estimation. In pursuit of high bandwidth efficiency, differential amplitude and phase shift keying (DAPSK) was devised using constellations of multiple concentric rings. In order to increase resilience against the typical high-Doppler-induced performance degradation of DAPSK and/or enhance the maximum achievable error-free transmission rate for DAPSK modulated systems, multiple-symbol differential detection (MSDD) may be invoked. However, the complexity of the maximum-a-posteriori (MAP) MSDD increases exponentially with the detection window size and hence may become excessive upon increasing the window size, especially in the context of iterative detection aided channel coded system. In order to circumvent this excessive complexity, we conceive a decomposed two-stage iterative amplitude and phase (A/P) detection framework, where the challenge of having a non-constant-modulus constellation is tackled with the aid of a specifically designed information exchange between the independent A/P detection stages, thus allowing the incorporation of reduced-complexity sphere detection (SD). Consequently, a near-MAP-MSDD performance can be achieved at a significantly reduced complexity, which may be five orders of magnitude lower than that of the traditional MAP-MSDD in the 16-DAPSK scenario considered.

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Accepted/In Press date: December 2011
Organisations: Southampton Wireless Group


Local EPrints ID: 273046
ISSN: 0018-9545
PURE UUID: 7e6f6250-6b64-4f65-bac3-3c210381ccfa

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Date deposited: 05 Dec 2011 15:08
Last modified: 18 Jul 2017 06:17

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Author: Li Wang
Author: Lajos Hanzo

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