Name
Title | ||
|---|---|---|
GENETIC ALGORITHM-AIDED FIXED-POINT DESIGN OF E-UTRA PRACH DETECTOR ON MULTI-CORE DSP |
Abstract | ||
|---|---|---|
This paper presents a new genetic algorithm (GA)-aided methodology of software implementation in Digital Signal Processors (DSPs) under both the computational accuracy and bus bandwidth constraints. The design issue is firstly stated as two classes of fixed-point design problems, one of which is then formulated to a constrained integer program- ming (CIP) problem. And the genetic algorithm is proposed to treat with such CIP problem for the sake of efficiency. Then the fixed-point evolved (E)-UTRA PRACH detector is presented, which further underlines the feasibility and con- venience of applying this methodology to practice. Finally, the numeric results justify the proposed GA-aided approach and demonstrate that a speedup by a factor of 33 can be achieved compared to the exhaustive search for the solution of E-UTRA PRACH detector design problem. |
Year | DOI | Venue |
|---|---|---|
2009 | null | European Signal Processing Conference |
Field | DocType | Volume |
Digital signal processing,Algorithm design,Brute-force search,Computer science,Real-time computing,Integer programming,Fixed point,Computer engineering,Detector,Genetic algorithm,Speedup | Conference | null |
Issue | ISSN | ISBN |
null | null | 978-161-7388-76-7 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rongrong Qian | 1 | 49 | 13.30 |
| Tao Peng | 2 | 391 | 46.51 |
| Yuan Qi | 3 | 24 | 15.41 |
| Wenbo Wang | 4 | 0 | 0.34 |