GMSK linearization and structured channel estimate for GSM signals

Jen-Wei Liang, B. Ng, J.-T. Chen, A. Paulraj
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引用次数: 21

Abstract

GMSK is a spectrum-efficient modulation scheme, and it is adopted as the modulation standard of GSM systems. However, because of its phase modulation, Gaussian filtering, and partial response signaling properties, GMSK is not a linear modulation. We present a linear approximation of GMSK signals at T/2 fractional spacing. The partial response channel with a memory length of 3 symbol periods, which is the pulse-shaping function inherent in the GMSK modulation, can be clearly identified in this linear approximation. Further more, we use this partial response channel information in the estimation of the wireless channel, which includes the physical propagation channel and the modulation pulse-shaping function. Conventional channel estimators, e.g., correlator or least-squares estimator approaches, do not exploit the information of the pulse-shaping function which is known and available. Our proposed structured channel estimate is more accurate since we incorporate the knowledge of the channel structure in the estimation procedure. We compared the BER (bit-error-probability) performance of a GSM system with the structured and unstructured channel estimate, and simulation results show the improvement of a Viterbi equalizer in different test channels when a structured channel estimate is used.
GSM信号的GMSK线性化和结构化信道估计
GMSK是一种频谱高效调制方案,被GSM系统采用为调制标准。然而,由于其相位调制、高斯滤波和部分响应信号特性,GMSK不是线性调制。我们提出了GMSK信号在T/2分数间距下的线性近似。在这个线性近似中,可以清楚地识别出记忆长度为3个符号周期的部分响应通道,即GMSK调制固有的脉冲整形函数。此外,我们将这些部分响应信道信息用于无线信道的估计,其中包括物理传播信道和调制脉冲整形函数。传统的信道估计方法,例如相关器或最小二乘估计方法,不利用已知和可用的脉冲整形函数的信息。我们提出的结构化信道估计更准确,因为我们在估计过程中纳入了信道结构的知识。比较了结构化信道估计和非结构化信道估计对GSM系统误码率(BER)性能的影响,仿真结果表明,采用结构化信道估计可以提高Viterbi均衡器在不同测试信道中的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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