1. Reducing the noise variance in ensemble-averaged randomly scaled sonar or radar signals.
- Author
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Øyehaug, L. and Skartlien, R.
- Subjects
- *
RADAR , *SONAR , *DETECTORS , *SIGNAL-to-noise ratio , *SIGNAL processing , *ELECTRONIC systems - Abstract
Ensemble-averaged randomly scaled radar or sonar pulses are considered and the statistical theory for the corresponding phase and amplitude modulations are developed. Random scaling expresses varying radar cross-sections for scattering objects or varying antenna gain of a sweeping emitter. The noise variance of the modulations depends on the distribution function of the scaling, and how to minimise the variance by rejecting pulses below a certain amplitude threshold is shown. The theory is asymptotic in the sense that it is more accurate for increasing signal-to-noise ratios (SNRs). In a test case with uniformly distributed scaling, sufficient accuracy is reached for an average SNR larger than ∼5 for the phase average and ∼15 for the amplitude average. [ABSTRACT FROM AUTHOR]
- Published
- 2006
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