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Effective nested array design for fourth-order cumulant-based DOA estimation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ahmed, Ammar Zhang, Yimin D. Himed, Braham |
| Copyright Year | 2017 |
| Abstract | In this paper, we propose a novel sparse array design for direction-of-arrival estimation based on the fourth-order statistics of the received signals. The utilization of fourth-order statistics provides a higher number of degrees of freedom and flexibility as compared to the commonly used covariance-based methods. The proposed sparse array design scheme yields the fourth-order difference co-array which offers a significant increment in the number of consecutive lags as compared to the existing sparse array structures used by fourth-order cumulant-based direction-of-arrival estimation methods. Moreover, the proposed array is designed in such a way that the resulting difference co-array does not contain any holes. Simulation results verify the effectiveness of the proposed array structure. |
| Starting Page | 998 |
| Ending Page | 1002 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.1109/RADAR.2017.7944349 |
| Alternate Webpage(s) | http://yiminzhang.com/pdf_r/radarcon17_ammar.pdf |
| Journal | 2017 IEEE Radar Conference (RadarConf) |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
