| Proj No. | A3071-251 |
| Title | NLOS Identification using machine learning in UWB-IR measured channel impulse responses |
| Summary | Ultra Wideband Impulse Radio (UWB-IR) is a promising technology for indoor localization. However, its positioning accuracy is deteriorated by None Line of Sight (NLOS) signal propagation, which induces a positive bias in range estimation. The ability to identify NLOS is important in a localization system. In this project the student will investigate NLOS identification techniques and machine learning techniques and apply them on UWB-IR measured channel impulse responses. The validity of the NLOS identification technique will be tested through a small in indoor test-bed setup. |
| Supervisor | A/P Law Choi Look (Loc:S1 > S1 B1A > S1 B1A 11, Ext: +65 67905424) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Communication Lab (Loc: S2-B4c-17) |
| Single/Group: | Single |
| Area: | Wireless and Communications Engineering |
| ISP/RI/SMP/SCP?: |