Now showing items 1-6 of 6
Signal Detection Games with Power Constraints
In this paper we formulate mathematically and solve maximin and minimax detection problems for signals with power constraints. These problems arise whenever it is necessary to distinguish between a genuine signal and a ...
One-Step Memory Nonlinearities for Signal Detection and Discrimination from Correlated Observations
New detectors employing test statistics which are formed by passing pairs of consecutive observations through one-step memory nonlinearities g(x, y) and summing the resulting terms are introduced. Problems of discrimination ...
Neural Networks for Sequential Discrimination of Radar Targets
In this paper, perceptron neural networks are applied to the problem of discriminating between two classes of radar returns. The perceptron neural networks are used as nonlinearities in two threshold sequential discriminators ...
The Interception of Spread Spectrum Waveforms with the Amplitude Distribution Function
Within the research effort related to unfriendly detection and interception of secure communications, an innovative concept called the Amplitude Distribution Function (ADF) is used to construct a detector that is an ...
Analysis of Compressive Receivers for the Optimal Interception of Frequency-Hopped Waveforms
This paper establishes that the compressive receiver is a practical interceptor of high performance. Given a signal of a particular duration, a compressive receiver can estimate simultaneously all frequency components ...
Robust Sequential Tests for Memoryless Discrimination from Dependent Observations
The problem of robust sequential discrimination from two dependent observation sequences with uncertain statistics is addressed. As in Part I () of this study, which treated asymptotically optimal sequential discrimination ...