Download Beamforming : sensor signal processing for defence by Athanassios Manikas PDF

By Athanassios Manikas

Beamforming: Sensor sign Processing for Defence Applications offers various very important examine contributions involved in sensor array sign processing and, particularly, with the superresolution beamformers primary to many civilian and defence functions. either area and space-time (STAP) beamforming algorithms and their program to radar structures are thought of with emphasis given to "look-down" airborne radars, artificial aperture radar (SAR), arrayed MIMO radar and a few universal wake-wave detection algorithms for two-dimensional SAR imagery. additionally, ocean towed arrays, which locate functions in numerous parts corresponding to defence, oil and fuel exploration, and geological and marine lifestyles stories, also are thought of paying specific awareness to receiver positional uncertainties due to the array's versatile constitution. Array geometrical and electric uncertainties, layout of auto-calibration algorithms, beamforming "pointing" blunders uncertainties and robustification concerns also are presented.

This ebook is self-contained and unified in its presentation, and comprehensively covers a few of the vintage and basic types 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 ebook for engineers within the defence undefined.

Readership: Postgraduate scholars and researchers operating within the region of sign processing to boot 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 publication is usually recommended interpreting

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19–35, Jan. 2004. [3] L. Brennan and I. Reed, “Theory of adaptive radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. 9, no. 2, pp. 237–252, Mar. 1973. [4] I. Reed, J. 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.

The detection process for the RCUT is based on the inner product of w opt and the received data vector for the RCUT is y[l] = w H opt x[l]. e. |y[l]|2 < γ H0 : Target Absent 2 |y[l]| > γ H1 : Target Present. 23) This process is depicted in Fig. 4. The interference covariance matrix is not known a priori and must therefore be estimated in some manner. A common method is by assuming that range gates adjacent to the RCUT have similar interference characteristics to the RCUT, but do not contain target reflections.

10) where vr is the velocity of the radar platform. If the scatterer is moving, the radial velocity in the direction of the radar can be subtracted from the above value. 4). 3 Clutter In the airborne radar environment, to model the clutter response, the ground may be divided into clutter patches which can each be considered as an individual scatterer with a complex reflectivity αi for the i-th clutter patch. The properties of the clutter patches can also be modeled statistically. 11) and clutter patches are statistically independent E{αi α∗j } = 0 i = j.

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