Fundamentals of Multisite Radar Systems: Multistatic Radars and Multistatic Radar Systems

Cover
Half Title
Title Page
Copyright Page
Preface
Acknowledgements
List of Abbreviations
Table of Contents
PART 1: GENERAL CHARACTERISTICS, RADAR CROSS SECTION OF TARGETS, COVERAGE OF MSRSs
	Chapter 1: General Characteristics
		1.1. Definition and Classification
		1.2. Main Advantages of MSRSs
		1.3. Main Drawbacks of MSRSs
		1.4. Brief Historical Outline
	Chapter 2: Radar Cross Section (RCS) of Targets
		2.1. Bistatic RCS of Targets
		2.2. Target Bistatic RCS at Forward Scattering
		2.3. Bistatic RCS of Chaff Clouds
	Chapter 3: Maximum Range and Coverage
		3.1. Maximum Range and Coverage of Bistatic Radars
		3.2. Maximum Range and Coverage of Active MSRSs
		3.3. Maximum Range and Coverage under Noise-Jamming Conditions
		3.4. Maximum Range and Coverage of Passive MSRSs
PART 2: TARGET DETECTION IN MSRSs
	Chapter 4: Models for Signals and Interferences. Optimization Criteria
		4.1. Peculiar Features of Signal Detection in MSRSs. Signal and Interference Model Formulation
		4.2. Space-Time Correlation Function of Scattered Signal Fluctuations in MSRSs
		4.3. Criteria for Optimum Signal Detection in MSRSs. Initial Relationships
	Chapter 5: Optimum Target Detection in Active MSRSs in a Background of Spatially Uncorrelated Interferences
		5.1. Detection of Deterministic Signals
		5.2. Optimum Detection Algorithms for Fluctuating Signals When a Target is Illuminated by a Single Transmitting Station
		5.3. Optimum Detection Algorithms for Fluctuating Signals When a Target is Illuminated by Several Transmitting Stations
		5.4. Performance Analysis of Optimum Detectors for Fluctuating Signals. Coherent Summation Algorithms
		5.5. Performance Analysis of Optimum Detectors for Fluctuating Signals. Incoherent Summation Algorithms
		5.6. Additional Energy Losses Caused by the Ignorance of Target Position. “Cost of Resolution”
	Chapter 6: Decentralized Target Detection in a Background of Spatially Uncorrelated Interference
		6.1. Optimization of Decentralized Target Detection
		6.2. Performance Analysis of Decentralized Detection Algorithms
		6.3. Additional Energy Losses of Decentralized Detection Caused by the Ignorance of Target Position. “Cost of Resolution” for Decentralized Detection
	Chapter 7: Detection of Stochastic Signals in Passive MSRSs in a Background of Spatially Uncorrelated Interferences
		7.1. Detection of Stochastic Signals with Known Correlation Matrices
		7.2. Detection of Stochastic Signals with Correlation Matrices Containing Random Parameters
		7.3. Suboptimum Detectors for Stochastic Signals
		7.4. Decentralized Suboptimum Detectors for Stochastic Signals
	Chapter 8: Target Detection in Active MSRSs in a Background of External Noise-Like Spatially Correlated Interferences
		8.1. Synthesis of Optimum Detectors for Deterministic Signals
		8.2. Performance Analysis of Optimum Detectors for Deterministic Signals. External Interference Cancellation
		8.3. Detectors for Fluctuating Signals
		8.4. Performance Analysis of Detection Algorithms for Fluctuating Signals. Efficiency of Space-Time Processing
		8.5. Performance Analysis of Detection Algorithms for Fluctuating Signals. Resultant Efficiency
	Chapter 9: Adaptive Cancellation of Noise-Like External Interferences in Active MSRSs. Target Detection in Passive MSRSs in a Background of Noise-Like External Interferences
		9.1. Adaptive Cancellation Using Systems of Orthogonal Filters
		9.2. External Interference Adaptive Cancellation with the Help of a Small Number of Nonorthogonal Filters
		9.3. Detection of Stochastic Signals with Known Correlation Matrices
		9.4. Detection of Stochastic Signals with Correlation Matrices Containing Random Parameters
	Chapter 10: Target Detection in Clutter by MSRSs
		10.1. Efficiency of Spatial Processing Against Gutter
		10.2. Efficiency of Spatial Processing Against Clutter in Thinned Antenna Arrays
		10.3. Signals from Moving Targets and Clutter PSD in MSRSs
		10.4. Moving Target Detection in Clutter
		10.5. Constant False Alarm Rate (CFAR) Detection
PART 3: TARGET COORDINATE ESTIMATION AND TRACKING IN MSRSs
	Chapter 11: Target Position and Velocity Estimation from Plots. Coordinate Estimation Using Signal Temporal Parameter Measurement
		11.1. Target Position and Velocity Measurement Methods. One-Stage and Two-Stage Algorithms
		11.2. One-Stage Optimum Coordinate Measurement in Active and Passive MSRSs Using Temporal Signal Parameters
		11.3. Optimum Signal TOA Measurement For Two-Stage Target Position Estimation in Active MSRSs. Signal Multiplication after Spatially Correlated Interference Cancellation
		11.4. Signal TDOA Measurement for Two-Stage Radiation Source Localization in Passive MSRSs
	Chapter 12: Maximum Attainable Accuracy of Temporal Parameter Measurements for Signals Containing Stray Parameters
		12.1. Maximum Attainable Accuracy of Maximum Likelihood Estimates of Informative Parameters
		12.2. Maximum Attainable Estimation Accuracy of Signal TOAs in Active MSRSs
		12.3. Maximum Attainable Estimation Acciu-acy of Signal TDOAs in Passive MSRSs
	Chapter 13: Doppler Frequency Measurement of Fluctuating Signals for Target Velocity Vector Estimation
		13.1. Optimum Doppler Frequency Measurement Algorithms for Point-Like Targets and Maximum Attainable Accuracy
		13.2. Optimum Doppler Frequency Measurement Algorithms for Known Space-Time Signal Correlation
		13.3. Optimum Doppler Frequency Measurement Algorithms for Unknown Space-Time Target Echo Correlation
		13.4. Maximum Attainable Accuracy of Doppler Frequency Estimation
		13.5. Accuracy of Doppler Frequency Estimation Algorithms
	Chapter 14: Resultant Target Coordinate Measurement Using Two-Stage Algorithms
		14.1. Resultant Coordinate Measurement Formation
		14.2. Comparison of Maximum Attainable Accuracy of One-Stage and Two-Stage Estimation Algorithms
		14.3. Examples of Two-Stage Algorithm Applications to Target Coordinate Estimation
	Chapter 15: Target Tracking by MSRSs. Principles of Interstation Plot and Track Correlation
		15.1. Principles of Target Tracking by MSRSs. Target Motion Models
		15.2. Tracking by Local Coordinate Estimate Fusion
		15.3. Local Track Fusion
		15.4. Principles of Interstation Measurement and Track Correlation
		References
Index