A novel time delay estimation using chirp signals robust to sampling frequency offset for a ranging system

• Published in: IEEE communications letters Vol. 14; no. 5; pp. 450 - 452
• Main Authors: Oh, Dae-Gun, Yoon, Sang-Hoon, Chong, Jong-Wha
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; AWGN; Channels; Chirp; Chirp signals; Computer simulation; Delay effects; Delay estimation; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Frequency estimation; frequency offset; Information, signal and communications theory; Miscellaneous; Noise reduction; Offsets; Robustness; Sampling; Sampling methods; Sampling, quantization; Signal and communications theory; Signal processing; Signal resolution; Signal, noise; Telecommunications and information theory; Time delay; time delay estimation; Time of arrival estimation; Training; Performance evaluation; Monte Carlo method; Parameter estimation; AWGN; Chirp; Chirp pulse; Noise reduction; Signal sampling; Subspace method; time delay estimation; Algorithm; Multipath channels; Sampling frequency; Learning; Signal processing; Numerical simulation; Distance measurement; Delay time; Frequency offset
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2010.05.091815

We propose a novel time delay estimation algorithm using a training and data sequence composed of chirp signals for a ranging system with frequency offset. This training and data sequence can be used for SNR enhancement using the proposed denoising method. Then, a subspace-based algorithm, ESPRIT, is applied to estimate the time delay of the first arrival path. We analyze the estimation performance of ESPRIT based on the proposed denoising method and verify it through Monte-carlo simulations in AWGN and a multi-path channel.