Athanassios Manikas's Beamforming : sensor signal processing for defence PDF

By Athanassios Manikas

ISBN-10: 1680158627

ISBN-13: 9781680158625

ISBN-10: 1783262745

ISBN-13: 9781783262748

ISBN-10: 1783262753

ISBN-13: 9781783262755

Beamforming: Sensor sign Processing for Defence Applications provides various vital learn contributions keen on sensor array sign processing and, specifically, with the superresolution beamformers basic to many civilian and defence purposes. either house and space-time (STAP) beamforming algorithms and their program to radar platforms are thought of with emphasis given to "look-down" airborne radars, man made aperture radar (SAR), arrayed MIMO radar and a couple of universal wake-wave detection algorithms for two-dimensional SAR imagery. additionally, ocean towed arrays, which locate purposes in a number of parts reminiscent of defence, oil and fuel exploration, and geological and marine existence reviews, also are thought of paying specific recognition to receiver positional uncertainties because of the array's versatile constitution. Array geometrical and electric uncertainties, layout of auto-calibration algorithms, beamforming "pointing" blunders uncertainties and robustification matters also are presented.

This publication is self-contained and unified in its presentation, and comprehensively covers a few of the vintage and basic versions of beamforming for sensor sign processing. it really is compatible as a complicated textbook for graduate scholars and researchers within the quarter of sign processing, in addition to a reference e-book for engineers within the defence undefined.

Readership: Postgraduate scholars and researchers operating within the region of sign processing besides researchers operating within the defence undefined. The UDRC runs a sequence of brief classes in sign processing for PhD scholars and commercial researchers and this e-book is suggested studying

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Mallett, and L. Brennan, “Rapid convergence rate in adaptive arrays,” IEEE Transactions on Aerospace and Electronic Systems, vol. 10, no. 6, pp. 853–863, Nov. 1974. [5] J. Guerci, J. Goldstein, and I. Reed, “Optimal and adaptive reduced-rank STAP,” IEEE Transactions on Aerospace and Electronic Systems, vol. 36, no. 2, pp. 647–663, Apr. 2000. [6] S. Haykin, Adaptive Filter Theory, 4th ed. Upper Saddle River, NJ, USA: Prentice-Hall, 2002. [7] A. Haimovich and Y. Bar-Ness, “An eigenanalysis interference canceler,” IEEE Transactions on Signal Processing, vol.

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The spatial steering vector for planar array can be decomposed into vertical and horizontal parts, S V (θ) and S H (θ, φ) respectively, as S(θ, φ) = S H (θ) ⊗ S V (θ, φ). 9) where PT is the element transmit power in Watts, AF is the array factor, gT (θ, φ) and gR (θ, φ) are respectively the transmit and receive element radiation patterns in the direction (θ, φ), σ is the radar cross section (RCS) of the scatterer, LS denotes system losses and R is the range of the scatterer. 10) where vr is the velocity of the radar platform.

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Beamforming : sensor signal processing for defence applications by Athanassios Manikas

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