Automated classification of micro-doppler signature
This report is regarding the Final Year Project A3090-161 on the topic of Automated Classification of Micro-Doppler Signature. It discusses how gait recognition is achieved through the analysis of micro-Doppler features. Within the project, the data is collected through ST200 Radar Evaluation System...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/70720 |
| _version_ | 1811677900822282240 |
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| author | Zhao, Dawei |
| author2 | Jiang Xudong |
| author_facet | Jiang Xudong Zhao, Dawei |
| author_sort | Zhao, Dawei |
| collection | NTU |
| description | This report is regarding the Final Year Project A3090-161 on the topic of Automated Classification of Micro-Doppler Signature. It discusses how gait recognition is achieved through the analysis of micro-Doppler features. Within the project, the data is collected through ST200 Radar Evaluation System with K-MC1 Radar Transceiver. Collected data is processed through various programs designed in MATLAB. A wide range of topics such as STFT, k-NN classification, noise cancelling are also applied throughout the project. |
| first_indexed | 2024-10-01T02:44:43Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/70720 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:44:43Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/707202023-07-07T16:57:25Z Automated classification of micro-doppler signature Zhao, Dawei Jiang Xudong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This report is regarding the Final Year Project A3090-161 on the topic of Automated Classification of Micro-Doppler Signature. It discusses how gait recognition is achieved through the analysis of micro-Doppler features. Within the project, the data is collected through ST200 Radar Evaluation System with K-MC1 Radar Transceiver. Collected data is processed through various programs designed in MATLAB. A wide range of topics such as STFT, k-NN classification, noise cancelling are also applied throughout the project. Bachelor of Engineering 2017-05-09T07:47:19Z 2017-05-09T07:47:19Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70720 en Nanyang Technological University 42 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Zhao, Dawei Automated classification of micro-doppler signature |
| title | Automated classification of micro-doppler signature |
| title_full | Automated classification of micro-doppler signature |
| title_fullStr | Automated classification of micro-doppler signature |
| title_full_unstemmed | Automated classification of micro-doppler signature |
| title_short | Automated classification of micro-doppler signature |
| title_sort | automated classification of micro doppler signature |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/70720 |
| work_keys_str_mv | AT zhaodawei automatedclassificationofmicrodopplersignature |