Adaptive High-Resolution Sensor Waveform Design for Tracking

This book offers insights into advanced radar waveform design techniques, enhancing tracking performance through adaptive algorithms and innovative mathematical approaches.

In Adaptive High-Resolution Sensor Waveform Design for Tracking, the author explores the latest advancements in radar technology, focusing on the design of transmitted waveforms. The book emphasizes the integration of innovative algorithms that allow for the adaptive selection of waveform parameters at each time step, significantly enhancing tracking performance. This approach is particularly beneficial for applications requiring precise target state estimation, as it enables the use of waveforms with reduced ambiguity function sidelobes.

The manuscript delves into the mathematical design of waveforms, highlighting how strategically positioning sidelobes can improve the detection of weak targets while minimizing interference from stronger ones. By providing a comprehensive overview of multicarrier phase-coded waveforms based on Bjorck constant-amplitude zero-autocorrelation (CAZAC) sequences, the author presents a robust framework for adaptive waveform selection schemes tailored for multiple target tracking scenarios. This innovative method is formulated using sequential Monte Carlo techniques, which are essential for aligning with high-resolution measurements.

Targeted at both practitioners and researchers in the radar field, as well as those in related disciplines, Adaptive High-Resolution Sensor Waveform Design for Tracking serves as a valuable resource for understanding the implications of high-resolution measurements. The book is well-structured, featuring sections on radar waveform design, target tracking with particle filters, and practical applications of the discussed techniques, culminating in a comprehensive conclusion that ties together the key insights presented throughout the work.