Detection, estimation, and modulation theory. Radar-sonar signal processing and Gaussian signals in noise

Detection, estimation, and modulation theory. Part III, Radar-sonar signal processing and Gaussian signals in noise

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Dades bibliogràfiques
Publicat a:Detection, estimation, and modulation theory,
Autor principal: Van Trees, Harry L., 1930-2022
Format: Livre papier
Idioma:Anglais
Publicat: New York ; London ; Sydney [etc.] : John Wiley & Sons C 1971.
Matèries:
Estimation, Théorie de l'
Radar
Sonar
Traitement du signal
Autres localisations: Voir dans le Sudoc
Consulter le titre dans une bibliothèque:
Taula de continguts:
  • 1. Introduction
  • 1.1 Review of Parts I and II
  • 1.2 Random signals in noise
  • 1.3 Signal processing in radar-sonar systems
  • 2. Detection of Gaussian signals in white Gaussian noise
  • 2.1 Optimum receivers
  • 2.2 Performance
  • 2.3 Summary : simple binary detection
  • 2.4 Problems
  • 3. General binary detection : Gaussian processes
  • 3.1 Model and problem classification
  • 3.2 Receiver structures
  • 3.3 Performance
  • 3.4 Four special situations
  • 3.5 General binary case : white noise not necessarily present : singular tests
  • 3.6 Summary : general binary problems
  • 3.7 Problems
  • 4. Special categories of detection problems
  • 4.1 Stationary processes : long observation time
  • 4.2 Separable Kernels
  • 4.3 Low-energy-coherence (LEC) case
  • 4.4 Summary
  • 4.5 Problems
  • 5. Discussions : detection of Gaussian signals
  • 5.1 Related topics
  • 5.2 Summary of detection theory
  • 5.3 Problems
  • 6. Estimation of the parameters of a random process
  • 6.1 Parameter estimation model
  • 6.2 Estimator structure
  • 6.3 Performance analysis
  • 6.4 Summary
  • 6.5 Problems
  • 7. Special categories of estimation problems
  • 7.1 Stationary processes : long observation time
  • 7.2 Finite-state processes
  • 7.3 Separable kernels
  • 7.4 Low-energy-coherence case
  • 7.5 Related topics
  • 7.6 Summary of estimation theory
  • 7.7 Problems
  • 8. The radar-sonar problem
  • 9. Detection of slowly fluctuating point targets
  • 9.1 Model of a slowly fluctuating point target
  • 9.2 White bandpass noise
  • 9.3 Colored bandpass noise
  • 9.4 Colored noise with a finite state representation
  • 9.5 Optimal signal design
  • 9.6 Summary and related issues
  • 9.7 Problems
  • 10. Parameter estimation : slowly fluctuating point targets
  • 10.1 Receiver derivation and signal design
  • 10.2 Performance of the optimum estimator
  • 10.3 Properties of time-frequency autocorrelation functions and ambiguity functions
  • 10.4 Coded pulse sequences
  • 10.5 Resolution
  • 10.6 Summary and related topics
  • 10.7 Problems
  • 11. Doppler-spread targets and channels
  • 11.1 Model for doppler-spread target (or channel)
  • 11.2 Detection of doppler-spread targets
  • 11.3 Communication over doppler-spread channels
  • 11.4 Parameter estimation : doppler-spread targets
  • 11.5 Summary : doppler-spread targets and channels
  • 11.6 Problems
  • 12. Range-spread targets and channels
  • 12.1 Model and intuitive discussion
  • 12.2 Detection of range-spread targets
  • 12.3 Time-frequency duality
  • 12.4 SUmmary : range-spread targets
  • 12.5 Problems
  • 13. Doubly-spread targets and channels
  • 13.1 Model for a doubly-spread target
  • 13.2 Detection in the presence of reverberation or clutter (resolution in a dense environment)
  • 13.3 Detection of doubly-spread targets and communications over doubly-spread channels
  • 13.4 Parameter estimation for doubly-spread targets
  • 13.5 Summary of doubly-spread targets and channels
  • 13.6 Problems
  • 14. Discussion
  • 14.1 Summary : signal processing in radar and sonar systems
  • 14.2 Optimum array processing
  • 14.3 Epilogue

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