DocumentCode :
23884
Title :
Integrated tracking, classification, and sensor management [Book review]
Author :
Daum, Fred
Volume :
29
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
42
Lastpage :
44
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.
Keywords :
Book reviews; Classification; Sensor fusion; Sensor systems and applications; Sensors; Tracking;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
Publisher :
ieee
ISSN :
0885-8985
Type :
jour
DOI :
10.1109/MAES.2014.140034
Filename :
6943457
Link To Document :
بازگشت