摘要
We study the normalized output signal-to-interference-plus-noise ratio (SINR) of a sample matrix inversion (SMI) beamformer with exploiting a priori information on persymmetric structures in the received signal. An exact expression for the expectation of the normalized output SINR (i.e., average S-INR loss) of the persymmetric SMI beamformer is obtained. Simulation results reveal that the exploitation of the persymmetric structure is equivalent to doubling the amount of training data.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2016 19th IEEE Statistical Signal Processing Workshop, SSP 2016 |
| 出版商 | IEEE Computer Society |
| ISBN（电子版） | 9781467378024 |
| DOI | |
| 出版状态 | 已出版 - 24 8月 2016 |
| 已对外发布 | 是 |
| 活动 | 19th IEEE Statistical Signal Processing Workshop, SSP 2016 - Palma de Mallorca, 西班牙 期限: 25 6月 2016 → 29 6月 2016 |
出版系列
| 姓名 | IEEE Workshop on Statistical Signal Processing Proceedings |
|---|---|
| 卷 | 2016-August |
会议
| 会议 | 19th IEEE Statistical Signal Processing Workshop, SSP 2016 |
|---|---|
| 国家/地区 | 西班牙 |
| 市 | Palma de Mallorca |
| 时期 | 25/06/16 → 29/06/16 |
指纹
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Liu, J., Liu, H., Chen, B., & Xia, X. G. (2016). SINR analysis in persymmetric adaptive processing. 在 2016 19th IEEE Statistical Signal Processing Workshop, SSP 2016 文章 7551756 (IEEE Workshop on Statistical Signal Processing Proceedings; 卷 2016-August). IEEE Computer Society. https://doi.org/10.1109/SSP.2016.7551756