References & Further Reading

References

M. A. Richards, J. A. Scheer, and W. A. Holm, Principles of Modern Radar: Basic Principles, SciTech Publishing, 2010
Comprehensive modern radar textbook covering the radar equation, waveform design, matched filtering, and signal processing. Sections s01-s04 follow this reference closely.
M. I. Skolnik, Radar Handbook, McGraw-Hill, 3rd edition ed., 2008
The authoritative radar reference handbook. Provides detailed coverage of the radar equation, RCS, detection theory, and system design. Essential background for Sections s01 and s05.
N. Levanon and E. Mozeson, Radar Signals, Wiley, 2004
Definitive treatment of radar waveforms and ambiguity functions. Covers LFM, phase codes, Costas sequences, and OFDM waveforms. Section s02 on ambiguity functions is based on this reference.
R. Klemm, Principles of Space-Time Adaptive Processing, IET, 3rd edition ed., 2006
The standard reference on STAP for airborne radar. Covers clutter models, optimal and reduced-dimension STAP methods, and practical implementation. Section s06 follows Klemm's framework.
H. L. Van Trees, Detection, Estimation, and Modulation Theory, Part I, Wiley, 2001
The classic graduate text on statistical signal processing, covering Neyman-Pearson detection, likelihood ratio tests, and estimation theory. Sections s03 and s05 build on Van Trees' foundations.
P. Stoica and R. Moses, Spectral Analysis of Signals, Prentice Hall, 2005
Covers MUSIC, ESPRIT, and other spectral estimation methods with emphasis on statistical performance analysis and Cramer-Rao bounds. Section s07 on direction finding follows Stoica and Moses.
S. Haykin, Cognitive Radar: A Way of the Future, 2006
Introduces the concept of adaptive waveform design based on scene feedback, connecting ambiguity function theory to information-theoretic waveform optimization.
J. Li and P. Stoica, MIMO Radar Signal Processing, Wiley, 2009
Extends the radar signal processing framework to MIMO systems with orthogonal waveforms, virtual aperture, and enhanced spatial degrees of freedom. Prerequisite for Ch 11.
J. Ward, Space-Time Adaptive Processing for Airborne Radar, MIT Lincoln Lab TR-1015, 1994
The foundational technical report on STAP providing the clutter covariance models and optimal filter derivations.
G. Caire, On the Illumination and Sensing Model for RF Imaging, 2026
Unifies diffraction tomography and radar/wireless views of the imaging forward model through the common sensing matrix with Kronecker structure. The radar tools of this chapter are building blocks for the imaging framework.