- Cover Page
- Half title
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- Author
- Introduction
- Part I Design of radar Digital Signal Processing and Control algorithms
- Chapter 1 Principles of Systems Approach to Design Complex Radar Systems
- Chapter 2 Signal Processing by Digital Generalized Detector in Complex Radar Systems
- Chapter 3 Digital Interperiod Signal Processing Algorithms
- 3.1 Digital Moving-Target Indication Algorithms
- 3.2 DGD for Coherent Impulse Signals with Known Parameters
- 3.3 DGD for Coherent Impulse Signals with Unknown Parameters
- 3.4 Digital Measurers of Target Return Signal Parameters
- 3.5 Complex Generalized Algorithms of Digital Interperiod Signal Processing
- 3.6 Summary and Discussion
- References
- Chapter 4 Algorithms of Target Range Track Detection and Tracking
- 4.1 Main Stages and Signal Reprocessing Operations
- 4.2 Target Range Track Detection Using Surveillance Radar Data
- 4.2.1 Main Operations under Target Range Track Detection
- 4.2.2 Statistical Analysis of “2m + 1/n” Algorithms under False Target Range Track Detection” Algorithms under False Target Range Track Detection
- 4.2.3 Statistical Analysis of “2m + l/n” Algorithms under True Target Range Track Detection” Algorithms under True Target Range Track Detection
- 4.3 Target Range Tracking Using Surveillance Radar Data
- 4.4 Summary and Discussion
- References
- Chapter 5 Filtering and Extrapolation of Target Track Parameters Based on Radar Measure
- 5.1 Initial Conditions
- 5.2 Process Representation in Filtering Subsystems
- 5.3 Statistical Approach to Solution of Filtering Problems of Stochastic (Unknown) Parameters
- 5.4 Algorithms of Linear Filtering and Extrapolation under Fixed Sample Size of Measurements
- 5.4.1 Optimal Parameter Estimation Algorithm by Maximal Likelihood Criterion for Polynomial Target Track: A General Case
- 5.4.2 Algorithms of Optimal Estimation of Linear Target Track Parameters
- 5.4.3 Algorithm of Optimal Estimation of Second-Order Polynomial Target Track Parameters
- 5.4.4 Algorithm of Extrapolation of Target Track Parameters
- 5.4.5 Dynamic Errors of Target Track Parameter Estimation Using Polar Coordinate System
- 5.5 Recurrent Filtering Algorithms of Undistorted Polynomial Target Track Parameters
- 5.6 Adaptive Filtering Algorithms of Maneuvering Target Track Parameters
- 5.7 Logical Flowchart of Complex Radar Signal Reprocessing Algorithm
- 5.8 Summary and Discussion
- References
- Chapter 6 Principles of Control Algorithm Design for Complex Radar System Functioning at Dynamical Mode
- 6.1 Configuration and Flowchart of Radar Control Subsystem
- 6.2 Direct Control of Complex Radar Subsystem Parameters
- 6.3 Scan Control in New Target Searching Mode
- 6.3.1 Problem Statement and Criteria of Searching Control Optimality
- 6.3.2 Optimal Scanning Control under Detection of Single Target
- 6.3.3 Optimal Scanning Control under Detection of Unknown Number of Targets
- 6.3.4 Example of Scanning Control Algorithm in Complex Radar Systems under Aerial Target Detection and Tracking
- 6.4 Power Resource Control under Target Tracking
- 6.5 Distribution of Power Resources of Complex Radar System under Combination of Target Searching and Target Tracking Modes
- 6.6 Summary and Discussion
- References
- Part II Design Principles of Computer System for radar Digital Signal Processing and Control algorithms
- Chapter 7 Design Principles of Complex Algorithm Computational Process in Radar Systems
- Chapter 8 Design Principles of Digital Signal Processing Subsystems Employed by a Complex Radar System
- 8.1 Structure and Main Engineering Data of Digital Signal Processing Subsystems
- 8.2 Requirements for Effective Speed of Operation
- 8.3 Requirements for RAM Size and Structure
- 8.4 Selection of Microprocessor for Designing the Microprocessor Subsystems
- 8.5 Structure and Elements of Digital Signal Processing and Complex Radar System Control Microprocessor Subsystems
- 8.6 High-Performance Centralized Microprocessor Subsystem for Digital Signal Processing of Target Return Signals in Complex Radar Systems
- 8.7 Programmable Microprocessor for Digital Signal Preprocessing of Target Return Signals in Complex Radar Systems
- 8.8 Summary and Discussion
- References
- Chapter 9 Digital Signal Processing Subsystem Design (Example)
- 9.1 General Statements
- 9.2 Design of Digital Signal Processing and Control Subsystem Structure
- 9.3 Structure of Coherent Signal Preprocessing Microprocessor Subsystem
- 9.4 Structure of Noncoherent Signal Preprocessing Microprocessor Subsystem
- 9.5 Signal Reprocessing Microprocessor Subsystem Specifications
- 9.6 Structure of Digital Signal Processing Subsystem
- 9.7 Summary and Discussion
- References
- Chapter 10 Global Digital Signal Processing System Analysis
- 10.1 Digital Signal Processing System Design
- 10.2 Analysis of “n – 1 – 1” MTI System – 1 – 1” MTI System
- 10.3 Analysis of “n – – n – 1” MTI System – 1” MTI System
- 10.4 Analysis of “n – – m– 1” MTI System– 1” MTI System
- 10.5 Comparative Analysis of Target Tracking Systems
- 10.6 Summary and Discussion
- References
- Part III Stochastic Processes Measuring in radar Systems
- Chapter 11 Main Statements of Statistical Estimation Theory
- Chapter 12 Estimation of Mathematical Expectation
- 12.1 Conditional Functional
- 12.2 Maximum Likelihood Estimate of Mathematical Expectation
- 12.3 Bayesian Estimate of Mathematical Expectation: Quadratic Loss Function
- 12.4 Applied Approaches to Estimate the Mathematical Expectation
- 12.5 Estimate of Mathematical Expectation at Stochastic Process Sampling
- 12.6 Mathematical Expectation Estimate under Stochastic Process Amplitude Quantization
- 12.7 Optimal Estimate of Varying Mathematical Expectation of Gaussian Stochastic Process
- 12.8 Varying Mathematical Expectation Estimate under Stochastic Process Averaging in Time
- 12.9 Estimate of Mathematical Expectation by Iterative Methods
- 12.10 Estimate of Mathematical Expectation with Unknown Period
- 12.11 Summary and Discussion
- References
- Chapter 13 Estimation of Stochastic Process Variance
- 13.1 Optimal Variance Estimate of Gaussian Stochastic Process
- 13.2 Stochastic Process Variance Estimate under Averaging in Time
- 13.3 Errors under Stochastic Process Variance Estimate
- 13.4 Estimate of Time-Varying Stochastic Process Variance
- 13.5 Measurement of Stochastic Process Variance in Noise
- 13.6 Summary and Discussion
- References
- Chapter 14 Estimation of Probability Distribution and Density Functions of Stochastic Process
- 14.1 Main Estimation Regularities
- 14.2 Characteristics of Probability Distribution Function Estimate
- 14.3 Variance of Probability Distribution Function Estimate
- 14.4 Characteristics of the Probability Density Function Estimate
- 14.5 Probability Density Function Estimate Based on Expansion in Series Coefficient Estimations
- 14.6 Measurers of Probability Distribution and Density Functions: Design Principles
- 14.7 Summary and Discussion
- References
- Chapter 15 Estimate of Stochastic Process Frequency-Time Parameters
- 15.1 Estimate of Correlation Function
- 15.2 Correlation Function Estimation Based on Its Expansion in Series
- 15.3 Optimal Estimation of Gaussian Stochastic Process Correlation Function Parameter
- 15.4 Correlation Function Estimation Methods Based on Other Principles
- 15.5 Spectral Density Estimate of Stationary Stochastic Process
- 15.6 Estimate of Stochastic Process Spike Parameters
- 15.7 Mean-Square Frequency Estimate of Spectral Density
- 15.8 Summary and Discussion
- References
- Notation Index
- Index
To the undying memory of Dr. Peter Tuzlukov, my dear father and teacher
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