Automated performance evaluation technique
| dc.contributor.advisor | Wadsworth, Donald v.Z. | |
| dc.contributor.author | Skimmons, Brian E. | |
| dc.contributor.corporate | Naval Postgraduate School (U.S.) | |
| dc.contributor.department | Department of Electrical and Computer Engineering | |
| dc.contributor.secondreader | Vincent, W. Ray | |
| dc.date | March 1992 | |
| dc.date.accessioned | 2012-11-29T16:13:32Z | |
| dc.date.available | 2012-11-29T16:13:32Z | |
| dc.date.issued | 1992-03 | |
| dc.description.abstract | The U.S. Navy operates a number of radio receiving and signal collection sites throughout the world. These sites have been modified and upgraded a number of times to incorporate new equipment technology and advance receiving and data processing systems. In addition, the encroachment of other activities near the sites has increased the levels of radio and electrical noise to harmful levels. The impact of some site modification and increased noise levels on the ability of the sites to receive and process data from signals-of-interest (SOIs) is a major concern, A means to evaluate the positive (or negative) impact of site improvements, site upgrades, and site encroachment on the performance of a site has not been available in past years. To fill this void, a performance evaluation technique (PET) was developed by the staff and students of the Naval Postgraduate School. PET has gradually evolved into a useful analytic tool used during field surveys conducted by the Signal-to-Noise Enhancement Program (SNEP). SNEP teams visit selected sites to assess the impact of site modification and man-made radio noise on the reception of SOIs. The primary tool used to quantify the impact of factors affecting SOI reception is the PET curve. This thesis describes the steps involved in the PET, the construction and interpretation of PET curves, and new techniques employing a computer to generate PET curves. Examples of curves produced by the new automated process are presented using data from a recent SNEP survey at the Sebana Seca CDAA site. | en_US |
| dc.description.distributionstatement | Approved for public release; distribution is unlimited. | |
| dc.description.service | Lieutenant, United States Navy | en_US |
| dc.description.uri | http://archive.org/details/automatedperform1094523551 | |
| dc.format.extent | 144 p. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10945/23551 | |
| dc.language.iso | en_US | |
| dc.publisher | Monterey, California. Naval Postgraduate School | en_US |
| dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
| dc.subject.author | RFI mitigation | en_US |
| dc.subject.author | CDAA performance | en_US |
| dc.subject.author | RFDF management | en_US |
| dc.title | Automated performance evaluation technique | en_US |
| dc.type | Thesis | en_US |
| dspace.entity.type | Publication | |
| etd.thesisdegree.discipline | Electrical Engineering | en_US |
| etd.thesisdegree.grantor | Naval Postgraduate School | en_US |
| etd.thesisdegree.level | Masters | en_US |
| etd.thesisdegree.name | M.S. in Electrical Engineering | en_US |
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