Title :
The optimal focusing subspace for coherent signal subspace processing
Author :
Valaee, S. ; Kabal, P.
Author_Institution :
Quebec Univ., Verdun, Que., Canada
fDate :
3/1/1996 12:00:00 AM
Abstract :
We introduce a technique to determine an optimal focusing frequency for the direction-of-arrival estimation of wideband signals using the coherent signal-subspace processing method. We minimize the subspace fitting error to select an optimal focusing frequency. Direct optimization of this criterion can be computationally complex-the complexity increases with the number of frequency samples. An alternative technique is introduced that performs nearly as well as the optimal method. This suboptimal technique is based on minimizing a tight bound to the error. The computational complexity of the suboptimal method is independent of the number of frequency samples. The simulation results show that the proposed method reduces both the bias of estimation and the resolution threshold signal-to-noise ratio (SNR)
Keywords :
computational complexity; direction-of-arrival estimation; error analysis; optimisation; signal resolution; signal sampling; coherent signal subspace processing; computational complexity; direction of arrival estimation; estimation bias reduction; frequency samples; optimal focusing frequency; optimal focusing subspace; optimal method; optimization; resolution threshold SNR; resolution threshold signal to noise ratio; simulation results; suboptimal technique; subspace fitting error minimisation; wideband signals; Array signal processing; Computational complexity; Frequency domain analysis; Frequency estimation; Sensor arrays; Signal processing; Signal processing algorithms; Signal resolution; Signal to noise ratio; Wideband;
Journal_Title :
Signal Processing, IEEE Transactions on