Joint location and Doppler estimation with fractional lower-order statistics

In wireless distributed multimedia communication networks, the spatial selectivity of an array of sensors can be used in order to operate in close-frequency bands and suppress undesirable noise and interference in favor of the signal of interest. Our emphasis is in the development of methods for direction finding, null- and beam-steering, and waveform recovery in mobile networks. We develop angle and Doppler estimation techniques from measurements retrieved in the presence of impulsive noise (thermal, jamming, or clutter) modeled as a complex isotropic alpha-stable random process. The results are of great importance in the study of wireless communications and of space-time adaptive processing (STAP) applications for airborne pulse Doppler radar arrays operating in impulsive interference environments.

[1]  E. J. Kelly.  An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Saleem A. Kassam,et al.  Asymptotically robust detection of a known signal in contaminated non-Gaussian noise , 1976, IEEE Trans. Inf. Theory.

[3]  K. J. Sangston,et al.  Coherent detection of radar targets in a non-gaussian background , 1994 .

[4]  C. L. Nikias,et al.  Signal processing with alpha-stable distributions and applications , 1995 .

[5]  David Middleton,et al.  Threshold Detection in Non-Gaussian Interference Environments: Exposition and Interpretation of New Results for EMC Applications , 1984, IEEE Transactions on Electromagnetic Compatibility.

[6]  Mario Tanda,et al.  Array detection of random signals in spherically invariant noise , 1993 .

[7]  Viktor K. Prasanna,et al.  Multidisciplinary Research on Advanced, High-Speed, Adaptive Signal Processing for Radar Sensors. , 1997 .

[8]  J. Ward,et al.  Cramer-Rao bounds for target angle and Doppler estimation with space-time adaptive processing radar , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[9]  Joel Goldman,et al.  Detection in the presence of spherically symmetric random vectors , 1976, IEEE Trans. Inf. Theory.

[10]  S.U. Pillai,et al.  Multichannel space-time adaptive processing , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[11]  Chrysostomos L. Nikias,et al.  Data-adaptive algorithms for signal detection in sub-Gaussian impulsive interference , 1997, IEEE Trans. Signal Process..

[12]  James Ward,et al.  Space-time adaptive processing for airborne radar , 1998 .

[13]  A. Öztürk,et al.  Non-Gaussian random vector identification using spherically invariant random processes , 1993 .

[14]  Chrysostomos L. Nikias,et al.  Parameter estimation and blind channel identification in impulsive signal environments , 1995, IEEE Trans. Signal Process..

[15]  Chrysostomos L. Nikias,et al.  The robust covariation-based MUSIC (ROC-MUSIC) algorithm for bearing estimation in impulsive noise environments , 1996, IEEE Trans. Signal Process..

[16]  Mario Tanda,et al.  Constant false‐alarm rate array detection of random signals in spherically invariant noise , 1995 .

[17]  Panagiotis Tsakalides.  Array signal processing with alpha-stable distributions , 1995 .

[18]  Chrysostomos L. Nikias,et al.  Wideband array signal processing with alpha-stable distributions , 1995, Proceedings of MILCOM '95.

[19]  S. Kassam.  Signal Detection in Non-Gaussian Noise , 1987 .