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  • 學位論文

近接頻率訊號之參數估測

Parameter estimation of two closely spaced frequency signals

指導教授 : 高銘盛

摘要


此篇論文呈現一個演算法以估測二個頻率非常接近之弦波訊號的參數。由於此波訊號之頻率太靠近,以致於很難使用濾波器分別濾出其中之一。我們的方法是設計一種特別的取樣方式來達成零干擾,並且運用統計之概念估測訊號中振幅和相位的變化。此方法架構於簡單的取樣技術,故可降低接收器之複雜度。此技術可運用於遙感系統和雷達系統,藉此可以有效偵測信號頻率和相位的訊息。

並列摘要


This paper presents an algorithm to estimate the parameters of two closely spaced sinusoid signals. Since the frequencies of two sinusoid signals are very close, it is difficult to separate them with filtering. Our approach is to design a special sampling method to achieve zero interference under ideal conditions, and estimate the variations of amplitude and phase with statistic approach. It is based on a simple sampling technique, which can reduce the complexity of detection receiver. The algorithm can be applied to remote sensing system and radar system, in order to detect the desired amplitude and phase information.

參考文獻


[1] C. J. Ying, L. C. Potter and R. L. Moses, “On model order determination for complex exponential signals: Performance of an FFT-initialized ML algorithm”, Proc. 7th SP Workshop on Statistical Signal and Array Processing, Quebec, Canada, 26-29 June 1994, pp. 43-46.
[2] J. Rissanen, “Modelling by shortest data description”, Automatica, Vol. 14, 1978, pp. 465-471.
[3] Y. Bresler and A. Macovski, “Exact maximum likelihood parameter estimation of superimposed exponential signals in noise,” IEEE Trans. Acoust., Speech and Signal Processing, vol. ASSP-34, n. 5, pp. 1081-1089, Oct. 1986.
[4] P. Stoica, R. L. Moses, B. Friedlander and T. Sderstrm, “Maximum Likelihood estimation of the parameters of multiple sinusoids from noisy measurements,” IEEE Trans. Acoust., Speech and Signal Processing, vol. 37, n. 3, pp. 378-391, March 1989.
[5] P. Stoica, P. Hndel, T. Sderstrm, “Approximate maximum likelihood frequency estimation,” Automatica, vol. 30, no. 1, pp. 131 - 145, January 1994.

被引用紀錄


王惠琪(2013)。跨域治理理論之比較分析--以兩個個案為例〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2013.02106

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