Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while minimizing the impact of input noise on the filter output or the impact of the shaped signal on other systems depending on the application. In many practical applications, such as in TV channel equalization, digital transmission, and pulse compression applied to radar, sonar and detection, the soft least square approach, which attempts to match the output waveform with a specific desired pulse, is...

Written by experts, this book covers topics such as Bayesian Filtering, Multi-Target Tracking, Sensor Management, and Classification. The text features four interrelated parts: filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. These areas are important to statistical signal processing, radar systems, operations research, and control theory. They include the intelligence, surveillance, and reconnaissance (ISR) applications of interest in civilian and military circles. The contents emphasize careful mathematical formulation, clear...

The monograph written by John Mullane, Ba-Ngu Vo, Martin Adams and Ba-Tuong Vo is devoted to the field of autonomous robot systems, which have been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the problem of representing the environment and its uncertainty in terms of feature based maps. Random Finite Sets are adopted as the fundamental tool to represent a map, and a general framework is proposed for feature management, data association and state estimation. The approaches are tested in a number of experiments on both...