The signal model in Kalman filtering is usually described by a linear dynamical equation driven by generating noise. In this thesis, we set the generating noise to be a white binary sequence and feed to a dynamic system and then forward to a phase modulation system. This discrete generating noise makes the generating signal to be discrete. However, there still are too many states for this discrete signal. In this thesis, we apply the tree structure to define the states. The number of states is reduced by focusing on the most probable working states.
To save the bandwidth, we interpolate the generating signal in two methods. One is before the phase modulation, the other is after phase modulation. The former one has a better error rate than GMSK for SNR between- 2dB~5dB and if given the bandwidth around 500k(Hz). The former one has a better error rate than GNSK for SNR between - 3dB~5dB and if given the bandwidth around 500k(Hz). Our error performance is studied by computer simulation. This error performance is also successfully analyzed by computing the distance spectrums
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0830107-145006 |
| Date | 30 August 2007 |
| Creators | Syu, Hong-Ren |
| Contributors | Chen, Chin-Hsing, Chow Ben-Shung, Tsang-Yi Wang, Lee Tsung |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830107-145006 |
| Rights | campus_withheld, Copyright information available at source archive |
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