Detection of Sinusoids in White Noise by Adaptive Linear Prediction Filtering.
Research and development rept. Jan-Oct 77,
NAVAL OCEAN SYSTEMS CENTER SAN DIEGO CA
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This report describes four receivers for the detection of a sinusoid of known frequency but unknown phase in Gaussian white noise of known spectrum level. These are the likelihood ratio detector, a processor employing incoherently averaged Discrete Fourier Transforms DFTs of the received signal, and two systems utilizing the frequency response of adaptive Linear Predictive FiltersLPFs. The LPF systems are described in detail, and an expression for optimal adaptive filter parameter selection is derived. Power curves for the four receivers are derived and compared. Results indicate that the adaptive methods are similar in performance to the incoherent DFT processor with one of the adaptive techniques offering a 1-dB reduction in input signal-to-noise ratio SNR for operation at the same detection and false alarm probabilities. All three of these detectors require substantially higher SNRs than the likelihood ratio detector. Author
- Electrical and Electronic Equipment