Piece-wise variance method for signal-to-noise ratio estimation in elastic/raman lidar signals
A straightforward signal-to-noise ratio (SNR) estimator for elastic/Raman lidar channels and related noise-induced errorbars is presented. The estimator is based on piece-wise estimation of the mean signal power and noise variance component under analog detection. The piece-wise estimator results ar...
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| Main Authors: | , , , , |
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| 格式: | Conference or Workshop Item |
| 出版: |
2007
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/14357/ |
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| 機構: | Universiti Teknologi Malaysia |
| 總結: | A straightforward signal-to-noise ratio (SNR) estimator for elastic/Raman lidar channels and related noise-induced errorbars is presented. The estimator is based on piece-wise estimation of the mean signal power and noise variance component under analog detection. The piece-wise estimator results are compared with those obtained from a previously published SNR parametric estimator under high and low SNR scenarios. |
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