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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Kar, S.P., Palanisamy, P. (2014). Novel 2D Real-Valued Sinusoidal Signal Frequencies Estimation Based on Propagator Method. In: Sathiakumar, S., Awasthi, L., Masillamani, M., Sridhar, S. (eds) Proceedings of International Conference on Internet Computing and Information Communications. Advances in Intelligent Systems and Computing, vol 216. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1299-7_29
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DOI: https://doi.org/10.1007/978-81-322-1299-7_29
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