Abstract
An algorithm of optimal Neyman-Pearson detection for a high-precision spaceborne radar altimeter is synthesized, and its detection performance in the case of sea surface returns is evaluated. One result of the synthesis is that the new detector incorporates a filter with time-varying signal-to-noise-ratio- dependent parameters. A simplified (near-optimal) detector considered in this letter loses only 2 dB in the threshold signal with respect to that of the optimal Neyman-Pearson algorithm.
| Original language | English |
|---|---|
| Article number | 6822498 |
| Pages (from-to) | 2159-2162 |
| Number of pages | 4 |
| Journal | IEEE Geoscience and Remote Sensing Letters |
| Volume | 11 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2014 Dec |
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All Science Journal Classification (ASJC) codes
- Geotechnical Engineering and Engineering Geology
- Electrical and Electronic Engineering
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Optimal detector synthesis for a spaceborne high-precision oceanographic radar altimeter. / Ka, Min Ho; Baskakov, Aleksandr I.
In: IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 12, 6822498, 12.2014, p. 2159-2162.Research output: Contribution to journal › Article
TY - JOUR
T1 - Optimal detector synthesis for a spaceborne high-precision oceanographic radar altimeter
AU - Ka, Min Ho
AU - Baskakov, Aleksandr I.
PY - 2014/12
Y1 - 2014/12
N2 - An algorithm of optimal Neyman-Pearson detection for a high-precision spaceborne radar altimeter is synthesized, and its detection performance in the case of sea surface returns is evaluated. One result of the synthesis is that the new detector incorporates a filter with time-varying signal-to-noise-ratio- dependent parameters. A simplified (near-optimal) detector considered in this letter loses only 2 dB in the threshold signal with respect to that of the optimal Neyman-Pearson algorithm.
AB - An algorithm of optimal Neyman-Pearson detection for a high-precision spaceborne radar altimeter is synthesized, and its detection performance in the case of sea surface returns is evaluated. One result of the synthesis is that the new detector incorporates a filter with time-varying signal-to-noise-ratio- dependent parameters. A simplified (near-optimal) detector considered in this letter loses only 2 dB in the threshold signal with respect to that of the optimal Neyman-Pearson algorithm.
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UR - http://www.scopus.com/inward/citedby.url?scp=84903550658&partnerID=8YFLogxK
U2 - 10.1109/LGRS.2014.2323067
DO - 10.1109/LGRS.2014.2323067
M3 - Article
AN - SCOPUS:84903550658
VL - 11
SP - 2159
EP - 2162
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
SN - 1545-598X
IS - 12
M1 - 6822498
ER -