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Maximum likelihood localization of multiple sources by alternating projection
Abstract
An algorithm, referred to as APM, for computing the maximum-likelihood estimator of the locations of simple sources in passive sensor arrays is presented. The algorithm is equally applicable to the case of coherent signals and to the case of a single snapshot. The algorithm is iterative; the maximum of the likelihood function is computed by successive approximations. The convergence of the algorithm to the global maximum is demonstrated for a variety of scenarios. The key to this global convergence is the initialization scheme.>
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Cited by
Position location using wireless communications on highways of the future
Rappaport, T. S., Reed, J. H., & Woerner, B. D. (1996) · IEEE Communications Magazine · doi:10.1109/35.544321 · Cited by 561
Anti-collusion fingerprinting for multimedia
Trappe, W., Wu, M., Wang, Z. J., & Liu, K. J. R. (2003) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2003.809378 · Cited by 382
A least-squares algorithm for multipath time-delay estimation
Manickam, T. G., Vaccaro, R. J., & Tufts, D. W. (1994) · IEEE Transactions on Signal Processing · doi:10.1109/78.330381 · Cited by 109
Metadata
- Authors
- Ziskind, I., & Wax, M.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1988
- Volume
- 36
- Issue
- 10
- Pages
- 1553-1560
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2140728947
- Cited by
- 1,272
- References
- 0
- FWCI
- 48.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Maximum likelihood localization of multiple sources by alternating projection. https://app.cochat.ai/papers/10.1109/29.7543
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- Ziskind, I., & Wax, M. (1988). Maximum likelihood localization of multiple sources by alternating projection. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/29.7543
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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