Paper
17 July 1998 Resolution of direction of arrival and number of signal(s) in a highly noisy environment
Jeffrey Y. Beyon, Stelios C.A. Thomopoulos
Author Affiliations +
Abstract
The majority of Direction-of-Arrival (DOA) estimation methods studied in the literature work effectively in relatively strong signal power environment [positive dB of Array- Signal-to-Noise-Ratio (ASNR)]. In weak power signal environments, conventional beamformer-based and subspace-based methods fail to estimate the DOA correctly. The MaxMax method allows to maintain accurate estimates of the DOA even in extremely noisy environments (-10 dB of ASNR). The method is reviewed and its performance is compared with that of the Conventional Beamformer, Capon's Beamformer, MUSIC, ESPRIT, and Min-Norm methods. In contrast with the subspace-based methods which entirely depend on the full rank signal covariance matrix, the MaxMax method does not. Hence, the performance of the method remains superior to that of the others without adjusting the algorithm to the characteristics of source signals such as multipath or singlepath. If the signal power is so weak that its presence is almost negligible, Akaike's Information Criterion (AIC) or Minimum Description Length (MDL) do not yield correct estimates the number of signal paths. A new 'spatial sampling' technique and its performance are presented for estimating the number of signals in case of strongly suppressed signal power.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey Y. Beyon and Stelios C.A. Thomopoulos "Resolution of direction of arrival and number of signal(s) in a highly noisy environment", Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); https://doi.org/10.1117/12.327116
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KEYWORDS
Phased arrays

Sensors

Interference (communication)

Smoothing

Computer simulations

Statistical analysis

Silicon

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