Spectrum analysis using a trellis algorithm

Feng Rice, B. Cowley, M. Rice, B. Moran
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Abstract

Carrier frequency offset is a significant problem in achieving signal acquisition in communications equipment. In a receiver the frequency offset must be corrected before symbol timing and phase recovery operations can be completed. Several methods have been applied to frequency estimation, for example, the fast Fourier transform (FFT) method and the differential phase method. However, the FFT method suffers from threshold effects and the differential phase method, although simple, suffers an SNR penalty though its differential detection and is sensitive to large frequency offsets. This paper describes a trellis based scheme for frequency and phase estimation. A recently reported technique, per-survivor processing (Raheli, 1995) has been adapted to make use of the trellis structure and is described. The technique, referred to herein as frequency estimation by PSP (FEPSP), gives near optimum performance under certain conditions. Firstly Cramer-Rao lower bounds (CRLB) are derived for the frequency estimator and the phase estimator. The PSP estimation algorithm is then described. Lastly, the performance of the FEPSP is discussed and compared with that of the CRLB and FFT methods.
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频谱分析使用网格算法
载波频偏是通信设备中实现信号采集的一个重要问题。在接收机中,在完成符号定时和相位恢复操作之前,必须对频率偏移进行校正。已有几种方法应用于频率估计,如快速傅里叶变换(FFT)方法和微分相位法。然而,FFT方法受到阈值效应的影响,而差分相位法虽然简单,但由于其差分检测而遭受信噪比损失,并且对大频率偏移敏感。本文介绍了一种基于栅格的频率和相位估计方案。最近报道的一项技术,每个幸存者处理(Raheli, 1995)已被改编为利用网格结构,并进行了描述。该技术,在这里被称为频率估计的PSP (FEPSP),在某些条件下提供接近最佳的性能。首先推导了频率估计器和相位估计器的Cramer-Rao下界。然后描述了PSP估计算法。最后,讨论了FEPSP的性能,并与CRLB和FFT方法进行了比较。
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