An Improved Frequency Estimator for Single Sinusoid Signal

摘要：

An improved frequency estimator (CFI-Kay) is proposed. The estimator improves Kays algorithm by autocorrelation, FFT and interpolation, digital heterodyne, decimation, linear prediction..The estimator has a significantly reduced threshold relative to the existing methods and mean-squared error (MSE) close to that of maximum likelihood estimation (MLE). In addition, the MSE is within 0.2 dB of the Cramér- Rao bound (CRB) at signal-to-noise ratios (SNRs) above threshold. The performance of CFI-Kay algorithm is uniform across a frequency range of -π to π. Moreover, the increased computational complexity of the new estimator is acceptable

关键词： SFE correlation interpolation linear prediction FFT decimation MSE CRB SNR

作者: Shentang Li Hong wan Yuqi Huang Wenjun Huo

作者单位: Information Engineering University of PLA Zhengzhou University

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）