Space spectrum estimation theory and algorithms

Author: Wang Yongliang
Publisher:
Publish Date: 2004-11-01
Features: Spatial spectrum estimation is an important research direction in array signal processing, with extremely broad application prospects in numerous fields such as radar, communication, sonar, and more. This book provides an in-depth and systematic discussion of the theory, algorithms, and relationships between theoretical methods of spatial spectrum estimation, summarizing the author's years of research achievements as well as the research progress in this field internationally. The book consists of 14 chapters, with main content including research progress in spatial spectrum estimation, signal source number estimation, linear prediction (LP) algorithms, MUSIC algorithms, subspace fitting algorithms, rotation-invariant subspace (ESPRIT) algorithms, subspace iteration and updating, spatial spectrum estimation for special signals, spatial spectrum estimation for special arrays, array error correction methods, the application of modern signal processing in spatial spectrum estimation, and multidimensional spatial spectrum estimation, among others. This book is a specialized work on the theory and algorithms of spatial spectrum estimation, serving as a learning and reference material for a broad range of technical personnel in fields such as radar, communication, navigation, sonar, and electronic countermeasures. It can also be used as a graduate textbook or reference book for students and researchers in signal and information processing, information and communication systems, and related disciplines at universities and research institutions.