By Athanassios Manikas
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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Extra resources for Beamforming : sensor signal processing for defence applications
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.  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.  S. Haykin, Adaptive Filter Theory, 4th ed. Upper Saddle River, NJ, USA: Prentice-Hall, 2002.  A. Haimovich and Y. Bar-Ness, “An eigenanalysis interference canceler,” IEEE Transactions on Signal Processing, vol.
Gau and I. Reed, “An improved reduced-rank CFAR space-time adaptive radar detection algorithm,” IEEE Transactions on Signal Processing, vol. 46, no. 8, pp. 2139–2146, Aug. 1998.  D. Pados and S. Batalama, “Joint space-time auxiliary-vector ﬁltering for DS/CDMA systems with antenna arrays,” IEEE Transactions on Communications, vol. 47, no. 9, pp. 1406–1415, Sep. 1999.  D. Pados and G. Karystinos, “An iterative algorithm for the computation of the MVDR ﬁlter,” IEEE Transactions on Signal Processing, vol.
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.
Beamforming : sensor signal processing for defence applications by Athanassios Manikas