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Novel 2D Real-Valued Sinusoidal Signal Frequencies Estimation Based on Propagator Method

2011 International Conference on Recent Trends in Information Technology (ICRTIT)(2011)

Natl Inst Technol

Cited 2|Views0
Abstract
This paper considers the problem of estimating the frequencies of multiple 2D real-valued sinusoidal signals, also known as Real X-texture mode signals, in the presence of additive white Gaussian noise. An algorithm for estimating the frequencies of real-valued 2D sine wave based on propagator method is developed. This technique is a direct method which does not require any peak search. A new data model for individual dimensions is proposed, which gives the dimension of the signal subspace is equal to the number of frequencies present in the observation. Then propagator method-based estimation technique is applied on individual dimensions using the proposed new data model. The performance of the proposed method is demonstrated and validated through computer simulation.
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Key words
Array signal processing,X-texture mode signals,Signal subspace method,Two-dimensional frequency estimation
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