Name
Abstract | ||
|---|---|---|
In order to find a method to eliminate the GPS receiver’s interference, the paper studied the principle of two conventional adaptive algorithms: Sample Matrix Inversion (SMI) adaptive algorithm and Gram-Schimit (GS) algorithm based on adaptive digital wave beam producing process. This paper analyzed a new algorithm: Improved Gram-Schmit (IGS) algorithm. Also, simulations of three algorithms are carried out and anti-jamming performance of them is compared. Conclusion is that IGS algorithm is a balanced fine algorithm because of its low computation cost, stable interference suppression performance, and easy engineering implementation process. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CSIE.2009.399 | CSIE (6) |
Keywords | Field | DocType |
multi-interference circumstance,anti-jamming performance,balanced fine algorithm,new gps adaptive anti-jamming,igs algorithm,conventional adaptive algorithm,easy engineering implementation process,new algorithm,gps receiver,stable interference suppression performance,adaptive digital wave beam,adaptive algorithm,algorithm design and analysis,sample matrix inversion,antenna array,noise,global positioning system,interference,radio receivers | Algorithm design,Computer science,Algorithm,FSA-Red Algorithm,Interference (wave propagation),Global Positioning System,Adaptive algorithm,Sample matrix inversion,Jamming,Computation | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuhang Wu | 1 | 0 | 2.70 |
| Dejian Lu | 2 | 0 | 1.69 |
| Haijian He | 3 | 0 | 0.34 |
| Xiuwan Chen | 4 | 33 | 18.04 |