Name
Title | ||
|---|---|---|
Underwater acoustic azimuth and elevation angle estimation using spatial invariance of two identically oriented vector hydrophones at unknown locations in impulsive noise |
Abstract | ||
|---|---|---|
This paper proposes a new underwater acoustic 2-D direction finding algorithm using two identically oriented vector hydrophones at unknown locations in non-Gaussian impulsive noise. The two applied vector hydrophones are four-component, orienting identically in space with arbitrarily and possibly unknown displacement. Each vector hydrophone has three spatially co-located but orthogonally oriented velocity hydrophones plus another pressure hydrophone. The proposed algorithm employs the spatial invariance between the two vector hydrophones, but requires no a priori information of vector hydrophones' spatial factors and impinging sources' temporal forms. We apply ESPRIT to estimate vector hydrophones manifold and then to pair the x-axis direction cosines with y-axis direction cosines automatically and yield azimuth and elevation angle estimates. We also consider the additive noise be non-Gaussian impulsive, which is often encountered in underwater acoustics applications. Two typical impulsive noise model, Gaussian-mixture noise and symmetric @a-stable (S@aS) noise models are adopted. Instead of using conventional second order correlation of array output data, we define the vector hydrophone array sign covariance matrix (VSCM) for Gaussian-mixture noise and vector hydrophone array fractional lower order moment (VFLOM) matrix for S@aS noise with 1 |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.dsp.2007.10.012 | Digital Signal Processing |
Keywords | Field | DocType |
impulsive noise,vector hydrophone,vector hydrophone array,array signal processing,elevation angle estimation,applied vector hydrophones,noise model,vector hydrophones manifold,spatial invariance,identically oriented vector hydrophones,gaussian-mixture noise,vector hydrophone array sign,esprit,direction-of-arrival estimation,sign covariance matrix,fractional lower order moment,additive noise,symmetric α -stable noise,underwater acoustic azimuth,vector hydrophones,second order,underwater acoustics,covariance matrix,impulse noise | Direction finding,Matrix (mathematics),Underwater acoustics,Azimuth,Hydrophone,Artificial intelligence,Direction cosine,Pattern recognition,Speech recognition,Acoustics,Covariance matrix,Mathematics,Underwater | Journal |
Volume | Issue | ISSN |
19 | 3 | Digital Signal Processing |
Citations | PageRank | References |
6 | 0.70 | 19 |
Authors | ||
2 | ||