TY - GEN

T1 - Joint frequency and 2-D angle estimation based on vector sensor array with sub-Nyquist temporal sampling

AU - JI, Fei

AU - FUNG, Carrson C.

AU - KWONG, Sam

AU - KOK, Chi-Wah

PY - 2008

Y1 - 2008

N2 - A novel ESPRIT based algorithm is proposed to jointly estimate 2-dimensional direction-of-arrivals (2-D DOAs) and frequencies of the incoming superimposed complex sinusoidal signals using a sparse uniform linear array of electromagnetic vector-sensors. The proposed method is based on a matrix pencil pair of temporally displaced data sets that are collected from the electromagnetic vector sensor array, where the DOA and frequency estimates can be estimated unambiguously from the eigenvectors and eigenvalues of the matrix pencil even when the interelement spacing is more than half wavelength. A second algorithm is proposed to resolve the ambiguity problem in the frequency estimates when the temporal sampling rate is less than half of the Nyquist rate of the signal, i.e. the sampling rate is less than the maximum frequency of the signal. Simulation results support the proposed algorithms and show that the 2-D DOA and frequency estimates are asymptotically unbiased and have a low variance. copyright by EURASIP.

AB - A novel ESPRIT based algorithm is proposed to jointly estimate 2-dimensional direction-of-arrivals (2-D DOAs) and frequencies of the incoming superimposed complex sinusoidal signals using a sparse uniform linear array of electromagnetic vector-sensors. The proposed method is based on a matrix pencil pair of temporally displaced data sets that are collected from the electromagnetic vector sensor array, where the DOA and frequency estimates can be estimated unambiguously from the eigenvectors and eigenvalues of the matrix pencil even when the interelement spacing is more than half wavelength. A second algorithm is proposed to resolve the ambiguity problem in the frequency estimates when the temporal sampling rate is less than half of the Nyquist rate of the signal, i.e. the sampling rate is less than the maximum frequency of the signal. Simulation results support the proposed algorithms and show that the 2-D DOA and frequency estimates are asymptotically unbiased and have a low variance. copyright by EURASIP.

UR - http://www.scopus.com/inward/record.url?scp=84863771431&partnerID=8YFLogxK

M3 - Conference paper (refereed)

AN - SCOPUS:84863771431

T3 - European Signal Processing Conference

BT - Proceedings of the 2008 16th European Signal Processing Conference

PB - IEEE

T2 - 16th European Signal Processing Conference, EUSIPCO 2008

Y2 - 25 August 2008 through 29 August 2008

ER -