The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A least-squares algorithm for multipath time-delay estimation
Open accessAbstract
We consider the problem of estimating the arrival times of overlapping ocean-acoustic signals from a noisy received waveform that consists of attenuated and delayed replicas of a known transient signal. We assume that the transmitted signal and the number of paths in the multipath environment are known and develop an algorithm that gives least-squares (LS) estimates of the amplitude and time delay of each path. Direct computation of the LS estimates would involve minimization of a highly oscillatory error function. By allowing the amplitudes to be complex valued, a much smoother error function that is easier to minimize using gradient-based techniques is obtained. Using this property and the knowledge (derived from the data) of the spacing between adjacent minima in the actual LS error function, an efficient algorithm is devised. The algorithm is a function of a data-dependent parameter, and we give rules for choosing this parameter. The algorithm is demonstrated on a broad-band signal, using simulated data. The proposed method is shown to achieve the Cramer-Rao lower bound over a wide range of SNR's. Comparisons are made with alternating projection (AP) and estimate maximize (EM) algorithms.>
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Least-squares time-delay estimation for transient signals in a multipath environment
Vaccaro, R. J., Ramalingam, C. S., Tufts, D. W., & Field, R. L. (1992) · The Journal of the Acoustical Society of America · doi:10.1121/1.404285 · Cited by 42
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- manickam, 1994, Estimation in a multipath environment
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Kossonou, K. I., Hillali, Y. E., Bocquet, M., Rivenq, A., & Assaad, J. (2014) · IEEE International Conference on Ultra-Wideband (ICUWB) · doi:10.1109/icuwb.2014.6959022
Application of RELAX in Time Delay Estimation
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Wireless Positioning Applications in Multipath Environments
Wang, S. (2015) · DuEPublico (University of Duisburg-Essen)
A new simultaneous estimation of directions of arrival and spectral components
Moghaddam, P. P., & Kasahara, J. (2005) · IEEE Underwater Technology (UT) · doi:10.1109/ut.2002.1002447
Efficient alignment-based average delay time estimation in fluctuating delayed propagation
Nakamura, A., & Hayashi, T. (2022) · Array · doi:10.1016/j.array.2022.100240
Sistemas Hiperbólicos de Localização Móvel Celular
ZAMPIER, H. D. V., & Grivet, M. (2003) · Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais · doi:10.14209/sbrt.2003.509
Some Aspects of Time Delay Estimation Based on Cross-Correlation
Aiordăchioaie, D. (2025) · Circuits Systems and Signal Processing · doi:10.1007/s00034-025-03323-2
Time Delay Estimation using Phase Data and its Application in SONAR
Deepa, B., Gopal, V., & Ambat, S. K. (2025) · International Symposium on Ocean Technology (SYMPOL) · doi:10.1109/sympol68153.2025.11395931
Metadata
- Authors
- Manickam, T. G., Vaccaro, R. J., & Tufts, D. W.
- Affiliations
- University of Rhode Island (US)
- ORCID
- Vaccaro, R.J.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1994
- Volume
- 42
- Issue
- 11
- Pages
- 3229-3233
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2102914531
- Cited by
- 109
- References
- 8
- Citations by year
- 2025: 2 · 2023: 2 · 2022: 2 · 2021: 3 · 2020: 5 · 2019: 4 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 6 · 2014: 3 · 2013: 2 · 2012: 5
- FWCI
- 1.09
- Type
- journal article
- Language
- en
- Open access
- Locations
- IEEE Transactions on Signal Processing (publishedVersion)
- Journal of Media Literacy Education (submittedVersion, cc-by)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Underwater Acoustics Research
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Physical Sciences › Engineering › Ocean Engineering › Underwater Vehicles and Communication Systems
- Keywords
- least squares estimation, gradient-based optimization, Cramer-Rao lower bound, wideband signals, alternating projections, expectation-maximization algorithm
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