Advances in Direction-of-Arrival Estimation (Artech House by Sathish Chandran

By Sathish Chandran

As the course to ambitions is mostly expressed via the path of arrival (DOA) of transmitted indications, making a choice on the course of arrival (DOA) of any sign is of severe value to electric engineers engaged on either civilian and tactical purposes in radar and communications. This state-of-the-art source offers the newest advancements in DOA estimation from the best researchers within the box. the 1st compiled ebook within the box, this in-depth reference covers a variety of key subject matters, from DOA estimation tools and resource localization difficulties, to precise purposes of DOA estimation and experimental setup and effects. Practitioners notice how DOA estimation is without doubt one of the major useful necessities for direction-finding shrewdpermanent antennas in subsequent iteration cellular and stealth verbal exchange platforms. The e-book additionally serves as a superb textual content for graduate scholars and researchers learning during this zone.

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While our technique was primarily developed for superior scenarios in sparse arrays, where the covariance matrices do not have a ‘‘noise subspace,’’ it is able to address an arbitrary parametric Gaussian model.

Karimi, ‘‘Comparison of the Ultimate DirectionFinding Capabilities of a Number of Planar Array Geometries,’’ IEE Proc. , Vol. 144, No. 6, December 1997, pp. 321–329. , T. K. Sarkar, and D. D. Weiner, ‘‘An L-Shaped Array for Estimating 2-D Directions of Wave Arrival,’’ IEEE Trans. on Antennas and Propagation Society, Vol. 39, No. 2, February 1991, pp. 143–146. , and T. Kailath, ‘‘Azimuth/Elevation Direction Finding Using Regular Array Geometries,’’ IEEE Trans. on Aerospace and Electronic Systems, Vol.

Comparison of these distributions leads to some quite important conclusions. 0% for the larger. Despite the high performance (in terms of LR), these separation scenarios demonstrate quite different detection-estimation performance. 9) was found, with all DOA estimates being extremely close to the true DOAs in terms of CRB. On the contrary, for the smaller separation, not a single trial was successfully identified. Even for those trials where the number of sources (m = 7) was correctly estimated (approximately 50%), the seventh estimated DOA was distributed across the entire interval of possible values.

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