Radar-Sonar Signal Processing and Gaussian Signals in Noise (Detection, Estimation, and Modulation Theory, Part 3)

This text should appeal to graduate students, researchers in this field and practicing engineers. It is a thorough study of how one applies statistical theory to an important problem area. In many places, specific research problems are suggested that are suitable for thesis or industrial research. The material is in a form that is suitable for presentation in a short course or industrial course for practicing engineers.

The respected classic, now in a handy paperback edition

Originally published in 1968, Harry Van Trees's Detection, Estimation, and Modulation Theory, Part III is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago.

Part III focuses on radar-sonar signal processing and Gaussian signals in noise. The following topics are covered in detail:
* Detection of Gaussian signals in white Gaussian noise
* General binary detection: Gaussian processes
* Estimation of the parameters of a random process
* The radar-sonar problem
* Parameter estimation: slowly fluctuating point targets
* Doppler-spread targets and channels
* Range-spread targets and channels
* Doubly-spread targets and channels

The results are still largely applicable to current systems.

For students in signal processing or professionals looking for a reliable refresher course, Detection, Estimation, and Modulation Theory, Part III provides authoritative, practical coverage by one of the most renowned figures in the field. Part III also provides necessary background for Optimum Array Processing, Part IV of Detection, Estimation, and Modulation Theory.