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Estimating the Parameters of Multiple Wideband Polynomial-Phase Signals in Sensor Arrays using Spatial Time-Frequency Distributions

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3 Author(s)
Aboulnasr Hassanien ; Darmstadt University of Technology, Communication Systems Group, 64283 Darmstadt, Germany ; Alex B. Gershman ; Kon Max Wong

A new algorithm for estimating the parameters of multiple wideband polynomial-phase signals (PPSs) in sensor arrays is developed. The spatial high-order instantaneous moments (SHIMs) are first defined using a nonlinear transformation of the array snapshot vectors. Then, the properties of SHIMs of multiple wideband PPSs are employed to obtain recursive estimates of the PPS frequency parameters. The time-frequency properties of SHIMs are then exploited for estimating the source directions-of-arrival (DOAs) using spatial time-frequency distributions (STFDs). The proposed algorithm is shown to have an improved performance compared to the chirp beamformer technique. Since our algorithm is based on multiple one-dimensional searches, it also offers a much simpler implementation avoiding multi-dimensional search, which is needed for other algorithms.

Published in:

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  (Volume:2 )

Date of Conference:

15-20 April 2007