Name
Abstract | ||
|---|---|---|
In this paper, particle state compression scheme is proposed together with its architecture for centralized implementation of particle filters. In the scheme, state values are processed in original bit-width, stored in a compressed way and recovered before sampling of next iteration. The advantage of the scheme is that particle states memory requirement can be greatly reduced while the trade-off is the deviations between original and recovered states introduced by the process. A case study in Nearly Constant Turn (NCT) scenario shows that while achieving the same level of filtering accuracy, proposed scheme can save up to 49.69% memory overhead for storing particle state values compared to traditional realizations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638121 | 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
particle filters, compression scheme, memory-efficient, implementation | Compression (physics),Mathematical optimization,Iterative method,Computer science,Particle filter,Filter (signal processing),Sampling (statistics),Auxiliary particle filter,Particle | Conference |
Volume | Issue | ISSN |
null | null | 1520-6149 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qinglin Tian | 1 | 19 | 2.45 |
| Yun Pan | 2 | 1 | 4.45 |
| Xiaolang Yan | 3 | 129 | 25.85 |
| Ning Zheng | 4 | 4 | 1.43 |
| Ruohong Huan | 5 | 18 | 6.30 |