High range resolution radar systems have many advantages such as target classification, resolution of multiple target, accurate range profile and detection of low radar cross section (RCS) targets in clutter. High range resolution requires large bandwidths. Stepped frequency waveforms can achieve high range resolution by increasing the effective bandwidth without increasing the instantaneous bandwidth which would increase the hardware requirements including higher analog to digital (AID) sampling rates which are limited by existing technology. Under today's hardware limitations, the stepped frequency waveform becomes very important. This thesis briefly discusses the stepped frequency radar and associated signal processing, it investigates the ambiguity function of the stepped frequency waveform and the stepped frequency radar system. Mathematical expressions of ambiguity functions are derived and the improvement of clutter suppression capability for the stepped frequency radar by rejecting initial pulses is also discussed.

High range resolution radar systems have many advantages such as target classification, resolution of multiple target, accurate range profile and detection of low radar cross section (RCS) targets in clutter. High range resolution requires large bandwidths. Stepped frequency waveforms can achieve high range resolution by increasing the effective bandwidth without increasing the instantaneous bandwidth which would increase the hardware requirements including higher analog to digital (AID) sampling rates which are limited by existing technology. Under today's hardware limitations, the stepped frequency waveform becomes very important. This thesis briefly discusses the stepped frequency radar and associated signal processing, it investigates the ambiguity function of the stepped frequency waveform and the stepped frequency radar system. Mathematical expressions of ambiguity functions are derived and the improvement of clutter suppression capability for the stepped frequency radar by rejecting initial pulses is also discussed.

A text and general reference on the design and analysis of radar signals As radar technology evolves to encompass a growing spectrum of applications in military, aerospace, automotive, and other sectors, innovations in digital signal processing have risen to meet the demand. Presenting a long overdue, up-to-date, dedicated resource on radar signals, the authors fill a critical gap in radar technology literature. Radar Signals features in-depth coverage of the most prevalent classical and modern radar signals used today, as well as new signal concepts developed in recent years. Inclusion of key MATLAB software codes throughout the book demonstrates how they dramatically simplify the process of describing and analyzing complex signals. Topics covered include: * Matched filter and ambiguity function concepts * Basic radar signals, with both analytical and numerical analysis * Frequency modulated and phase-coded pulses * Complete discussion of band-limiting schemes * Coherent LFM pulse trains-the most popular radar signal * Diversity in pulse trains, including stepped frequency pulses * Continuous-wave signals * Multicarrier phase-coded signals Combining lucid explanation, preferred signal tables, MATLAB codes, and problem sets in each chapter, Radar Signals is an essential reference for professionals-and a systematic tutorial for any seeking to broaden their knowledge base in this dynamic field.

This thesis investigates the use of the step frequency waveform, its design and analysis using the ambiguity function. The step frequency waveform consists of a series of N pulses each with a pulse width of z, and whose frequency is increased from pulse to pulse in steps of delta f. A design procedure for detection of small targets with a surface (land or sea) based step frequency radar employing a high pulse repetition frequency (PRF) waveform is developed. The proposed method determines the waveform parameters fo given radar specifications. A simple graphical implementation as well as a computer implementation are presented. The theoretical dimensions of the step frequency waveform are defined and verified for some waveforms with parameters similar to the waveform of interest. Finally, the ambiguity function is used to analyze the step frequency waveform.

Radar Signals: An Introduction to Theory and Application introduces the reader to the basic theory and application of radar signals that are designated as large time-bandwidth or pulse-compression waveforms. Topics covered include matched filtering and pulse compression; optimum predetection processing; the radar ambiguity function; and the linear frequency modulation waveform and matched filter. Parameter estimation and discrete coded waveforms are also discussed, along with the effects of distortion on matched-filter signals. This book is comprised of 14 chapters and begins with an overview of the concepts and techniques of pulse compression matched filtering, with emphasis on coding source and decoding device. The discussion then turns to the derivation of the matched-filter properties in order to maximize the signal-to-noise ratio; analysis of radar ambiguity function using the principle of stationary phase; parameter estimation and the method of maximum likelihood; and measurement accuracies of matched-filter radar signals. Waveform design criteria for multiple and dense target environments are also considered. The final chapter describes a number of techniques for designing microwave dispersive delays. This monograph will be a useful resource for graduate students and practicing engineers in the field of radar system engineering.

This book deals with the basic theory for design and analysis of Low Probability of Intercept (LPI) radar systems. The design of one such multi-frequency high resolution LPI radar, PANDORA, is covered. This work represents the first time that the topic of multi-frequency radars is discussed in such detail and it is based on research conducted by the author in The Netherlands. The book provides the design tools needed for development, design, and analysis of high resolution radar systems for commercial as well as military applications. Software written in MATLAB and C++ is provided to guide the reader in calculating radar parameters and in ambiguity function analysis. Some radar simulation software is also included.

This book is devoted to some of the problems encountered in the theory of sophisticated signals used in radar. The term sophisticated signal is under stood to mean a signal for which the product of the signal duration by the spectrum width substantially exceeds unity. Although it is impossible to draw an exact borderline between simple and sophisticated signals, the term "sophisticated signal" is sufficient to define one of the principal characteristics of modern radar. Recently, various sophisticated signals (frequency-modulated pulses, coded groups, phase-modulated signals, etc.) have found use in radar. This makes it possible to improve the resolution, to ensure simultaneous measurements of the range and range rate of a target, to elecrically scan over finite angular dimensions, etc. Although the realization of such potentialities is associated with substantial difficulties, one can say with certainty that "classical" radar technology, which uses simple signals at constant frequency and duty cycle, yields to more complex methods based on the use of wide-band signals of the sophisticated structure. The properties of radar signals, which characterize the measurement of a target's range and range rate, are described by the Woodward ambiguity function. The role of this function is similar to that of the antenna pattern, i.e., the ambiguity function defines the accuracy and resolution of the range and range rate measurements to the same extent as the antenna pattern de fines the accuracy and resolution of the azimuth and elevation measurements.