The Esprit Algorithm With Higher-order Statistics
- 24 August 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 163-168
- https://doi.org/10.1109/hosa.1989.735289
Abstract
We address in this paper the bearing estimation problem of sources from array measurements for signal environments where the signal is non-Gaussian and the additive noise sources are colored (spatially correlated) Gaussian with unknown second-order statistics. The ESPRIT bearing estimation problem is reformulated using fourth- order cumulant matrices instead of autocorrelation matrices. By doing so, the fourth-order cumulant matrices of the additive colored Gaussian noises can be suppressed and therefore knowledge of the noise cross-correlation matrix becomes unnecessary. Simulation results are presented and performance comparisons are made between the fourth-order cumulantbased ESPRIT and iis equivalent second-order statistics-based version when the additive noise sources are colored Gaussian with unknown spatiid correlation matrix.Keywords
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