Maximum likelihood separation of phase modulated signals

Amir Leshem

doi:10.1109/icassp.1999.761378

Maximum likelihood separation of phase modulated signals

Amir Leshem^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

In this paper we present a Newton scoring algorithm for the maximum likelihood separation and direction of arrival estimation of constant modulus signals, using a calibrated array. The main technical step is the inversion of the Fisher information matrix, and an analytic formula for the update step in the Newton method. We present the algorithm based on the derived update and discuss potential initializations. We also present the computational complexity of the update. Finally we present simulation results comparing the method to the ESPRIT and the CM-DOA.

Original language	English
Pages (from-to)	2937-2940
Number of pages	4
Journal	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume	5
DOIs	https://doi.org/10.1109/icassp.1999.761378
State	Published - 1999
Externally published	Yes
Event	Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA Duration: 15 Mar 1999 → 19 Mar 1999

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10.1109/icassp.1999.761378

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abstract = "In this paper we present a Newton scoring algorithm for the maximum likelihood separation and direction of arrival estimation of constant modulus signals, using a calibrated array. The main technical step is the inversion of the Fisher information matrix, and an analytic formula for the update step in the Newton method. We present the algorithm based on the derived update and discuss potential initializations. We also present the computational complexity of the update. Finally we present simulation results comparing the method to the ESPRIT and the CM-DOA.",

author = "Amir Leshem",

year = "1999",

doi = "10.1109/icassp.1999.761378",

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AB - In this paper we present a Newton scoring algorithm for the maximum likelihood separation and direction of arrival estimation of constant modulus signals, using a calibrated array. The main technical step is the inversion of the Fisher information matrix, and an analytic formula for the update step in the Newton method. We present the algorithm based on the derived update and discuss potential initializations. We also present the computational complexity of the update. Finally we present simulation results comparing the method to the ESPRIT and the CM-DOA.

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JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

T2 - Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99)

Y2 - 15 March 1999 through 19 March 1999

ER -

Maximum likelihood separation of phase modulated signals

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