Autocorrelation-based Frequency Estimator for a Noisy Sinusoid
Frequency estimating is very important for the reliability of signal processing systems. In this paper, based on the trigonometric characters of sinusoidal signals, a new frequency estimator for a real sinusoid in white noise is proposed. The new estimator makes use of multiple autocorrelation lags to obtain an improved frequency estimator, which is derived from minimizing a constrained least squares cost function of autocorrelation sequence of signal. Computer simulations are included to contrast the estimator performance with several existing methods as well as the Cramer-Rao Lower Bound (CRLB).
multiple correlation lags real single sinusoid frequency estimation
Yan Cao Cui Yang
School of Electronic and Information Engineering South China University of Technology Guangzhou, China
国际会议
贵阳
英文
436-439
2011-06-12(万方平台首次上网日期,不代表论文的发表时间)