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Performance study of conditional and unconditional direction-of-arrival estimation
Abstract
A numerical and analytical study of conditional and unconditional direction-of-arrival (DOA) estimation is presented. Explicit expressions for the unconditional Cramer-Rao bounds on the DOA estimation accuracy and the covariance matrix of the conditional maximum likelihood method are given. It is shown that many DOA estimation methods have the same asymptotic statistical properties under conditional and unconditional models. The situation of two narrowband plane signals impinging on a uniformly spaced linear array is discussed.>
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Cited by
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Van Der Veen, A.-J., Deprettere, E. F., & Swindlehurst, A. L. (1993) · Proceedings of the IEEE · doi:10.1109/5.237536 · Cited by 348
Source localization in reverberant environments: modeling and statistical analysis
Gustafsson, T., Rao, B. D., & Trivedi, M. (2003) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/tsa.2003.818027 · Cited by 164
FFT-Based Efficient Algorithms for Time Delay Estimation
Wu, R., Wang, W., & Ji, Q. (2012) · Fourier Transform - Signal Processing · doi:10.5772/36242 · Cited by 2
“Using MODE (Stoica & Nehorai, 1990) would require a multidimensional search over a parameter space because we can no longer reparameterize the MODE cost function via the coefficients of a polynomial.”
Method
Metadata
- Authors
- Stoica, P., & Nehorai, A.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1990
- Volume
- 38
- Issue
- 10
- Pages
- 1783-1795
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2116414176
- Cited by
- 1,231
- References
- 0
- FWCI
- 18.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Performance study of conditional and unconditional direction-of-arrival estimation. https://app.cochat.ai/papers/10.1109/29.60109
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- Stoica, P., & Nehorai, A. (1990). Performance study of conditional and unconditional direction-of-arrival estimation. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/29.60109
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