Fundamentals of Radar Signal Processing

ISBN-10: 0071444742
ISBN-13: 9780071444743
Edition: 2005
Authors: Mark A. Richards
List price: $110.00
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Description: This rigorous text provides in-depth coverage of radar signal processing from a DSP perspective, filling a gap in the literature. There are a number of good books on general radar systems: Skolnik and Nathanson are the most popular. There are also  More...

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Book details

List price: $110.00
Copyright year: 2005
Publisher: McGraw-Hill Professional Publishing
Publication date: 6/24/2005
Binding: Hardcover
Pages: 528
Size: 7.50" wide x 9.25" long x 1.75" tall
Weight: 2.398
Language: English

This rigorous text provides in-depth coverage of radar signal processing from a DSP perspective, filling a gap in the literature. There are a number of good books on general radar systems: Skolnik and Nathanson are the most popular. There are also good monographs on advanced and specialty topics like synthetic aperture imaging. But there is a large, practical gap between the qualitative system books and the advanced DSP titles, and that is the slot this book fills.

Mark A. Richards, Ph.D. is a principal research engineer and adjunct professor at the Georgia Institute of Technology. He has over 20 years experience in academia, industry, and government in radar signal processing and embedded computing. He has served as a program manager in the Defense Advanced Research Projects Agency; the General Chair of the IEEE 2001 Radar Conference, and as an associate editor of the IEEE Transactions on Image Processing and the IEEE Transactions on Signal Processing. Dr. Richards teaches frequently in graduate and professional education courses in radar signal processing, radar imaging, and related topics. He lives in Marietta, Georgia.

Preface
Acknowledgments
List of Symbols
List of Acronyms
Introduction to Radar Systems
History and Applications of Radar
Basic Radar Functions
Elements of a Pulsed Radar
Transmitter and waveform generator
Antennas
Receivers
Review of Selected Signal Processing Concepts and Operations
Resolution
Spatial frequency
Fourier transforms
The sampling theorem and spectrum replication
Vector representation of signals
Data integration
Correlation
A Preview of Basic Radar Signal Processing
Radar time scales
Phenomenology
Signal conditioning and interference suppression
Imaging
Detection
Postprocessing
Radar Literature
Radar systems and components
Radar signal processing
Advanced radar signal processing
Current radar research
References
Signal Models
Components of a Radar Signal
Amplitude Models
Simple point target radar range equation
Distributed target forms of the range equation
Radar cross section
Radar cross section for meteorological targets
Statistical description of radar cross section
Swerling models
Clutter
Behavior of [phi superscript 0]
Signal-to-clutter ratio
Temporal and spatial correlation of clutter
Compound models of radar cross section
Noise Model and Signal-to-Noise Ratio
Jamming
Frequency Models: The Doppler Shift
Doppler shift
Simplified approach to Doppler shift
The "stop-and-hop" assumption and spatial Doppler
Spatial Models
Variation with angle or cross-range
Variation with range
Projections
Multipath
Spectral Model
Summary
References
Sampling and Quantization of Pulsed Radar Signals
Domains and Criteria for Sampling Radar Signals
Time and frequency samples
Spatial samples
Sampling criteria
Sampling in the Fast Time Dimension
Sampling in Slow Time: Selecting the Pulse Repetition Interval
Sampling the Doppler Spectrum
The Nyquist rate in Doppler
Straddle loss
Sampling in the Spatial and Angle Dimensions
Phased array element spacing
Antenna beam spacing
Quantization
I/Q Imbalance and Digital I/Q
I/Q imbalance and offset
Correcting I/Q errors
Digital I/Q
References
Radar Waveforms
Introduction
The Waveform Matched Filter
The matched filter
Matched filter for the simple pulse
All-range matched filtering
Range resolution of the matched filter
Matched Filtering of Moving Targets
The Ambiguity Function
Definition and properties of the ambiguity function
Ambiguity function of the simple pulse
The Pulse Burst Waveform
Matched filter for the pulse burst waveform
Pulse-by-pulse processing
Range ambiguity
Doppler response of the pulse burst waveform
Ambiguity function for the pulse burst waveform
Relation of slow-time spectrum to ambiguity function
Frequency-Modulated Pulse Compression Waveforms
Linear frequency modulation
The principle of stationary phase
Ambiguity function of the LFM waveform
Range-Doppler coupling
Stretch processing
Range Side Lobe Control for FM Waveforms
Matched filter frequency response shaping
Waveform spectrum shaping
The Stepped Frequency Waveform
Phase-Modulated Pulse Compression Waveforms
Biphase codes
Polyphase codes
Costas Frequency Codes
References
Doppler Processing
Alternate Forms of the Doppler Spectrum
Moving Target Indication (MTI)
Pulse cancellers
Vector formulation of the matched filter
Matched filters for clutter suppression
Blind speeds and staggered PRFs
MTI figures of merit
Limitations to MTI performance
Pulse Doppler Processing
The discrete time Fourier transform of a moving target
Sampling the DTFT: the discrete Fourier transform
Matched filter and filterbank interpretations of pulse Doppler processing with the DFT
Fine Doppler estimation
Modern spectral estimation in pulse Doppler processing
Dwell-to-dwell stagger
Pulse Pair Processing
Additional Doppler Processing Issues
Combined MTI and pulse Doppler processing
Transient effects
PRF Regimes and Ambiguity Resolution
Clutter Mapping and the Moving Target Detector
Clutter mapping
The moving target detector
MTI for Moving Plateforms: Adaptive Displaced Phase Center Antenna Processing
The DPCA concept
Adaptive DPCA
References
Detection Fundamentals
Radar Detection as Hypothesis Testing
The Neyman-Pearson detection rule
The likelihood ratio test
Threshold Detection in Coherent Systems
The Gaussian case for coherent receivers
Unknown parameters and threshold detection
Linear and square-law detectors
Other unknown parameters
Threshold Detection of Radar Signals
Coherent, noncoherent, and binary integration
Nonfluctuating targets
Albersheim's equation
Fluctuating targets
Shnidman's equation
Binary integration
Useful Numerical Approximations
Approximations to the error function
Approximations to the magnitude function
References
Constant False Alarm Rate (CFAR) Detection
The Effect of Unknown Interference Power on False Alarm Probability
Cell-Averaging CFAR
The effect of varying P[subscript FA]
The cell-averaging CFAR concept
CFAR reference windows
Analysis of Cell-Averaging CFAR
Derivation of CA CFAR threshold
Cell-averaging CFAR performance
CFAR loss
CA CFAR Limitations
Target masking
Clutter edges
Extensions to Cell-Averaging CFAR
Order Statistic CFAR
Additional CFAR Topics
Adaptive CFAR
Two-parameter CFAR
Clutter map CFAR
Distribution-free CFAR
System-level control of false alarms
References
Introduction to Synthetic Aperture Imaging
Introduction to SAR Fundamentals
Cross-range resolution in radar
The synthetic aperture viewpoint
Doppler viewpoint
SAR coverage and sampling
Stripmap SAR Data Characteristics
Stripmap SAR Geometry
Stripmap SAR data set
Stripmap SAR Image Formation Algorithms
Doppler beam sharpening
Quadratic phase error effects
Range-Doppler algorithms
Depth of focus
Spotlight SAR Data Characteristics
The Polar Format Image Formation Algorithm for Spotlight SAR
Interferometric SAR
The effect of height on a SAR image
IFSAR processing steps
Other Considerations
Motion compensation and autofocus
Autofocus
Speckle reduction
References
Introduction to Beamforming and Space-Time Adaptive Processing
Spatial Filtering
Conventional beamforming
Adaptive beamforming
Adaptive beamforming with preprocessing
Space-Time Signal Environment
Space-Time Signal Modeling
Processing the Space-Time Signal
Optimum matched filtering
STAP metrics
Relation to displaced phase center antenna processing
Adaptive matched filtering
Computational Issues in STAP
Power domain solution
Computational load of the power domain solution
Voltage domain solution and computational load
Conversion to computational rates
Reduced-Dimension STAP
Advanced STAP Algorithms and Analysis
Limitation to STAP
References
Index

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