MERAL Myanmar Education Research and Learning Portal
Item
{"_buckets": {"deposit": "728c24c7-bdef-4484-a42d-f2948c5ffc2e"}, "_deposit": {"id": "2240", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "2240"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/2240", "sets": ["user-uy"]}, "communities": ["ccm", "ccp", "kyauksetu", "ltc", "maas", "miit", "mlmu", "mmu", "mtlu", "mtu", "mub", "mude", "mufl", "pathein", "scu", "suoe", "tcu", "tgu", "tuh", "tum", "ucsm", "ucsmtla", "ucsmub", "ucspathein", "ucstaungoo", "ucsy", "udmm", "udmy", "uit", "um", "um1", "um2", "umkn", "umm", "uphy", "urj", "uvs", "uy", "yau", "ydbu", "ytu", "yude", "yueco", "yufl", "yuoe"], "control_number": "2240", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Detection of Signal for Radar Navigational System Using MATLAB", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper aims to evaluate the performance of target\r detection in the presence of sea clutter. Radar detection of a\r target against a background of unwanted clutter due to echoes\r from sea clutter or land is a problem of interest in the radar field.\r Radar detector has been developed by assuming the radar clutter\r is Gaussian distributed. However, as technology emerges, the\r radar distribution is seen to deviates from the Gaussian\r assumption. Thus, detectors designs based on Gaussian\r assumption are no longer optimum for detection in non-Gaussian\r nature. The theory of target detection in Gaussian distributed\r clutter has been well established and the closed form of the\r detection performances can be easily obtained. However, that is\r not the case in non-Gaussian clutter distributions. The operation\r of radar detection is determined by radar detection theory with\r different types of Swerling target models; such as Swerling I, II,\r III, IV and V. By using MATLAB, these signal detection\r techniques are developed."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Signal Performance"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-05-05"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "33.Detection of Signal for Radar Navigational System by Theingi Win Hlaing.pdf", "filesize": [{"value": "2544 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 2544000.0, "url": {"url": "https://meral.edu.mm/record/2240/files/33.Detection of Signal for Radar Navigational System by Theingi Win Hlaing.pdf"}, "version_id": "06b40181-6c19-402e-ba29-1a2be490b961"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{}]}, "item_1583103147082": {"attribute_name": "Conference papaers", "attribute_value_mlt": [{}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_supervisor(s)": []}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Theingi Win Hlaing"}, {"subitem_authors_fullname": "Hla Myo Tun"}, {"subitem_authors_fullname": "Zaw Min Naing"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2010"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://uyr.uy.edu.mm/handle/123456789/150"}, "item_title": "Detection of Signal for Radar Navigational System Using MATLAB", "item_type_id": "21", "owner": "1", "path": ["1582967549708"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000002240", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-05"}, "publish_date": "2020-03-05", "publish_status": "0", "recid": "2240", "relation": {}, "relation_version_is_last": true, "title": ["Detection of Signal for Radar Navigational System Using MATLAB"], "weko_shared_id": -1}
Detection of Signal for Radar Navigational System Using MATLAB
http://hdl.handle.net/20.500.12678/0000002240
http://hdl.handle.net/20.500.12678/000000224019aa9782-37ff-4352-b553-0a1fa3490571
728c24c7-bdef-4484-a42d-f2948c5ffc2e
Name / File | License | Actions |
---|---|---|
33.Detection of Signal for Radar Navigational System by Theingi Win Hlaing.pdf (2544 Kb)
|
|
Publication type | ||||||
---|---|---|---|---|---|---|
Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Detection of Signal for Radar Navigational System Using MATLAB | |||||
Language | en | |||||
Publication date | 2010 | |||||
Authors | ||||||
Theingi Win Hlaing | ||||||
Hla Myo Tun | ||||||
Zaw Min Naing | ||||||
Description | ||||||
This paper aims to evaluate the performance of target detection in the presence of sea clutter. Radar detection of a target against a background of unwanted clutter due to echoes from sea clutter or land is a problem of interest in the radar field. Radar detector has been developed by assuming the radar clutter is Gaussian distributed. However, as technology emerges, the radar distribution is seen to deviates from the Gaussian assumption. Thus, detectors designs based on Gaussian assumption are no longer optimum for detection in non-Gaussian nature. The theory of target detection in Gaussian distributed clutter has been well established and the closed form of the detection performances can be easily obtained. However, that is not the case in non-Gaussian clutter distributions. The operation of radar detection is determined by radar detection theory with different types of Swerling target models; such as Swerling I, II, III, IV and V. By using MATLAB, these signal detection techniques are developed. |
||||||
Keywords | ||||||
Signal Performance | ||||||
Identifier | http://uyr.uy.edu.mm/handle/123456789/150 | |||||
Journal articles | ||||||
Conference papaers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |