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Sequence detection for MPSK/MQAM with adaptive phase tracking

机译:具有自适应相位跟踪的MPSK / MQAM序列检测

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In [P.Y. Kam, P. Sinha, A Viterbi-type algorithm for efficient estimation of MPSK sequences over the Gaussian channel with unknown carrier phase, IEEE Trans. Commun. COM-43 (1995) 2429-2433], we developed a Viterbi algorithm for efficient detection of M-ary phase-shift keyed (MPSK) sequences received over the additive, white, Gaussian noise (AWGN) channel with an unknown carrier phase. By assuming the carrier phase is constant over some L symbol intervals and using the sequence detection metric in [P.Y. Kam, Maximum-likelihood digital data sequence estimation over the Gaussian channel with unknown carrier phase, IEEE Trans. Commun. COM-35 (1987) 764-767] as the decoding metric, it approaches the performance of coherent detection, provided the observation interval L for forming the decoding metric is sufficiently long. However, this observation interval L is fixed, and chosen based on prior knowledge of the carrier phase characteristics. Thus, the metric is nonadaptive, and cannot be optimized when a priori statistical knowledge of the carrier phase is not available. The work here renders it adaptive by developing a recursive metric that is adapted on-line based on the received signals, without prior knowledge of the carrier phase characteristics. We first derive a metric for the maximum likelihood sequence detector for a general M-ary quadrature amplitude modulation (MQAM) sequence received in the presence of AWGN and an unknown, slowly- and randomly-varying carrier phase. To reduce the receiver complexity, a practical, suboptimal metric is obtained. A recursive form of the metric using adaptive reference estimation as in [P.Y. Kam, K.H. Chua, X. Yu, Adaptive symbol-by-symbol reception of MPSK on the Gaussian channel with unknown carrier phase characteristics, IEEE Trans. Commun. COM-46 (1998) 1275-1279], is proposed. Comparison between the proposed adaptive, recursive metric and those in the literature is provided. Simulation results using a random-walk carrier phase model show the superior performance of the adaptive sequence detector over the original nonadaptive sequence detector of [P.Y. Kam, P. Sinha, A Viterbi-type algorithm for efficient estimation of MPSK sequences over the Gaussian channel with unknown carrier phase, IEEE Trans. Commun., COM-43 (1995) 2429-2433].
机译:在[P.Y. Kam,P. Sinha,一种用于在具有未知载波相位的高斯信道上有效估计MPSK序列的维特比型算法,IEEE Trans。公社COM-43(1995)2429-2433],我们开发了一种Viterbi算法,用于有效检测通过加性高斯白噪声(AWGN)信道接收到的具有未知载波相位的M进制相移键控(MPSK)序列。通过假设载波相位在某些L个符号间隔内是恒定的,并使用[P.Y. Kam,IEEE跨,具有未知载波相位的高斯信道上的最大似然数字数据序列估计。公社COM-35(1987)764-767]作为解码度量,只要形成解码度量的观察间隔L足够长,它就接近相干检测的性能。然而,该观察间隔L是固定的,并且基于载波相位特性的现有知识来选择。因此,度量是非自适应的,并且当载波相位的先验统计知识不可用时,不能优化度量。这里的工作通过开发一种递归度量来使其具有适应性,该递归度量基于接收的信号进行在线调整,而无需事先了解载波相位特性。我们首先为在存在AWGN和未知,缓慢且随机变化的载波相位的情况下接收到的一般M元正交幅度调制(MQAM)序列的最大似然序列检测器得出一个度量。为了降低接收机的复杂度,获得了实用的次优度量。 [P.Y.]中使用自适应参考估计的度量的递归形式。锦浩Chua,X。Yu,在高斯信道上具有未知载波相位特性的MPSK自适应逐符号接收,IEEE Trans。公社提出[COM-46(1998)1275-1279]。提供了所提出的自适应递归度量与文献中的度量之间的比较。使用随机游走载波相位模型的仿真结果表明,自适应序列检测器的性能优于原始的非自适应序列检测器。 Kam,P. Sinha,一种用于在具有未知载波相位的高斯信道上有效估计MPSK序列的维特比型算法,IEEE Trans。 Commun。,COM-43(1995)2429-2433]。

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