Performance of the joint reduced rank model-based demodulator for asynchronous co-channel GMSK signals

S. Sud, Edward B. Page
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引用次数: 2

Abstract

Cellular communications systems suffer from co-channel interference (CCI), due to signals from adjacent cells interfering with each other. Conventional demodulation techniques have relied on interference rejection to extract only the highest power signal. Recently, a joint reduced rank model-based demodulator (J-RRMBD) was presented that extracts two or more co-channel signals using continuous phase modulation (CPM) simultaneously. The technique is based upon a root selection algorithm using forward-backward linear prediction (FBLP), whereby multiple unequal powered signals are extracted by choosing the highest powered roots. Using synchronous continuous phase frequency shift keying (CPFSK) signals, the algorithm has been shown to provide up to 5 dB improvement over the conventional quadrature demodulator (QD) and single user model-based demodulator (MBD), which extracts only the highest powered user. In this paper, we apply the technique to received asynchronous Gaussian Minimum Shift Keying (GMSK) signals with unknown frequency offsets, encountered in terrestrial GSM networks. We compare performance to a joint Viterbi demodulator when two co-channel signals are present and show that the new technique provides an order of magnitude reduction in bit error rate (BER), and can more reliably demodulate signals with few samples as long as the carrier-to-interference ratio (CIR) ≥ 3 dB. When CIR ≪ 5 dB, a single user version of the algorithm provides performance improvement up to 7 dB over the Viterbi algorithm.
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基于联合降阶模型的异步同信道GMSK信号解调性能研究
由于相邻细胞的信号相互干扰,蜂窝通信系统遭受同信道干扰(CCI)。传统的解调技术依赖于抑制干扰,只提取最高功率的信号。最近,提出了一种基于联合降阶模型的解调器(J-RRMBD),该解调器采用连续相位调制(CPM)同时提取两个或多个同信道信号。该技术基于一种使用前向后线性预测(FBLP)的根选择算法,通过选择功率最高的根来提取多个不等功率信号。使用同步连续相位移频键控(CPFSK)信号,该算法已被证明比传统的正交解调器(QD)和基于单用户模型的解调器(MBD)提供高达5db的改进,后者只提取最高功率的用户。在本文中,我们将该技术应用于地面GSM网络中接收到的频率偏差未知的异步高斯最小移位键控(GMSK)信号。当存在两个共信道信号时,我们将其性能与联合Viterbi解调器进行了比较,并表明新技术提供了一个数量级的误码率(BER)降低,并且只要载波干扰比(CIR)≥3db,就可以更可靠地解调少量样本的信号。当CIR≪5 dB时,该算法的单用户版本比Viterbi算法提供了高达7 dB的性能改进。
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