Time-frequency peak filtering for the recognition of communication signals
Most existing classification methods cannot work in low signal-to-noise ratio (SNR) environments. This limitation motivates the signal filtering before the classification process. In this paper, a general framework that links the time-frequency peak filtering (TFPF) and traditional feature-based sig...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/96727 http://hdl.handle.net/10220/13117 |
| _version_ | 1826121397716385792 |
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| author | Zhang, Haijian Bi, Guoan |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Zhang, Haijian Bi, Guoan |
| author_sort | Zhang, Haijian |
| collection | NTU |
| description | Most existing classification methods cannot work in low signal-to-noise ratio (SNR) environments. This limitation motivates the signal filtering before the classification process. In this paper, a general framework that links the time-frequency peak filtering (TFPF) and traditional feature-based signal classification is explored. As the name suggests, TFPF is a filtering approach to encode the received signal as the instantaneous frequency (IF) of an analytic signal, and then the filtered signal is obtained by estimating the peak in the time-frequency domain of the encoded signal. The proposed framework is tested on the recognition of some communication signals. Numerical results demonstrate the effectiveness of this classification scheme for heavily noise corrupted signals. The TFPF based signal classification method exhibits a much better classification performance than the cases where the filtering process is not used. |
| first_indexed | 2024-10-01T05:31:59Z |
| format | Conference Paper |
| id | ntu-10356/96727 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:31:59Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/967272020-03-07T13:24:47Z Time-frequency peak filtering for the recognition of communication signals Zhang, Haijian Bi, Guoan School of Electrical and Electronic Engineering International Symposium on Instrumentation & Measurement, Sensor Network and Automation (2012 : Sanya, China) DRNTU::Engineering::Electrical and electronic engineering Most existing classification methods cannot work in low signal-to-noise ratio (SNR) environments. This limitation motivates the signal filtering before the classification process. In this paper, a general framework that links the time-frequency peak filtering (TFPF) and traditional feature-based signal classification is explored. As the name suggests, TFPF is a filtering approach to encode the received signal as the instantaneous frequency (IF) of an analytic signal, and then the filtered signal is obtained by estimating the peak in the time-frequency domain of the encoded signal. The proposed framework is tested on the recognition of some communication signals. Numerical results demonstrate the effectiveness of this classification scheme for heavily noise corrupted signals. The TFPF based signal classification method exhibits a much better classification performance than the cases where the filtering process is not used. 2013-08-15T07:08:30Z 2019-12-06T19:34:19Z 2013-08-15T07:08:30Z 2019-12-06T19:34:19Z 2012 2012 Conference Paper https://hdl.handle.net/10356/96727 http://hdl.handle.net/10220/13117 10.1109/MSNA.2012.6324507 en |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Zhang, Haijian Bi, Guoan Time-frequency peak filtering for the recognition of communication signals |
| title | Time-frequency peak filtering for the recognition of communication signals |
| title_full | Time-frequency peak filtering for the recognition of communication signals |
| title_fullStr | Time-frequency peak filtering for the recognition of communication signals |
| title_full_unstemmed | Time-frequency peak filtering for the recognition of communication signals |
| title_short | Time-frequency peak filtering for the recognition of communication signals |
| title_sort | time frequency peak filtering for the recognition of communication signals |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/96727 http://hdl.handle.net/10220/13117 |
| work_keys_str_mv | AT zhanghaijian timefrequencypeakfilteringfortherecognitionofcommunicationsignals AT biguoan timefrequencypeakfilteringfortherecognitionofcommunicationsignals |