Elsevier Science Limited, Jan 1, 1989 - Technology & Engineering - 297 pages
Adaptive arrays have many practical applications in engineering. Many research papers and reviews describe various types of adaptive arrays used in radar, sonar, seismic data processing, radionavigation, direction of arrival estimation, detection, and so on. A systematic outline of the field of adaptive arrays is provided in this book, offering a current overview of the large number of original contributions contained in the technical literature. This is the completely revised English version of the original Romanian edition. The 600 or more works consulted have enabled the authors to present topics from the earliest sources up to the latest developments in the field. Although the emphasis is mainly on the practical aspects, also included are design elements, technical and technological considerations, which make the book useful to a wide range of specialists. Besides the conventional adaptive processing techniques, nonconventional approaches are included such as reactively controlled arrays, adaptive arrays with optical processing, arrays used in frequency hopping communications systems, etc. Special attention is paid to recent applications of adaptive arrays, with a complete chapter devoted to superresolution and direction of arrival estimation. The book is self-contained, in that any person with a background in electrical engineering can follow the computations. Simple numerical examples are used throughout to illustrate the topics presented. The work is intended for researchers, designers, practitioners, high school teachers, students and engineers in radiocommunications, radar, electrical engineering, aerospace engineering, and control systems engineering.
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adaptation algorithm adaptive antenna adaptive array adaptive beamformer Aerosp amplitude angular antenna array Antennas Propag array output array processing assumed Atta array bandwidth beamformer behaviour channel circuit complex radiation pattern component computed constraints convergence correlation loop covariance matrix desired signal DOA direction dynamic range eigenvalues eigenvector Electron equation estimation filter frequency domain function gain gradient IEEE IEEE Trans implementation incident Inst interference signals interference sources inversion jammer Kalman filtering Let us consider linear LMS algorithm main beam matrix inversion max gain maximum minimize modulated MSLC multiple noise null optical optimal output power output signal phase shift phase-locked loop plot preprocessing Proc processor radar radiation pattern reference signal retrodirective array sample sample covariance matrix Sept shown in Fig shown in Section sidelobe signal processing signal received SINE SINR sonar SSLC subarrays Syst transient versus weight vector WHRW wideband Wopt zero