Abstract
All engineers and researchers interested in tracking and sensor fusion should scrutinize this new book consisting of 17 chapters in 712 pages written by the world's experts on the subject. The book is a pleasure to read, and it is a cornucopia of practical algorithms and new theory with quantitative performance comparisons. For example, chapter 8 by Neil Gordon, et al. surveys the state-of-the-art in track-before-detect algorithms, including a thorough quantitative comparison of 5 classes of algorithms (Viterbi, Baum-Welch, particle filters, maximum likelihood PDA and histogram probabilistic MHT), showing ROC curves, one-sigma errors and computational complexity for various signal-to-noise ratios and scenarios and sensors; the algorithms are thoroughly described in clear accessible prose; an extensive list of references is included. Most chapters in this book are written at a similar high level of quality and clarity and thoroughness.
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