Radar Detection presents a comprehensive coverage of radar detection using the methods and techniques of mathematical statistics.

There are equations, flow-charts, graphs and tables illustrated throughout Radar Detection.

Contents:

1. Introduction
   1. Introduction to Radar

2. Mathematical Description of Signal and Noise Waveforms
   2. Mathematical Representation of Waveforms
   3. Probability Theory
   4. Random Processes

3. Optimum Reception of Signals to Noise
   5. Maximization of Signal-to-Noise Ratio
   6. Optimum Filter for Colored Noise
   7. The A Posteriori Theory of Reception
   8. Statistical Decision Theory

4. Optimum Radar Detection
   9. Detection Based on a Single Observation
   10. Detection Based on Multiple Observations: Nonfluctuating Models
   11. Detection Based on Multiple Observations: Swerling Fluctuating Models
   12. The Radar Equation
   13. Cumulative Detection Probability of Stationary and Moving Targets

5. Suboptimum Detection Techniques
   14. The Binary Detector
   15. Weighted Integrators

6. Special Topics in Detection
   16. Sequential Detection
   17. Multiple-Target Detection

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ORDER NOW Radar Detection by Julius V. DiFranco and William L. Rubin 654 pages • $134.00 + shipping Texas residents please add 6.75 % sales tax