| 引用本文: | 秦焕丁,孟进,何方敏,等.多源宽带干扰对消建模及干扰抑制需求分析.[J].国防科技大学学报,2024,46(5):17-25.[点击复制] |
| QIN Huanding,MENG Jin,HE Fangmin,et al.Analysis of modeling and interference suppression requirement of multi-source wideband interference cancellation[J].Journal of National University of Defense Technology,2024,46(5):17-25[点击复制] |
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| 多源宽带干扰对消建模及干扰抑制需求分析 |
| 秦焕丁,孟进,何方敏,葛松虎,邢金岭,王衡峰 |
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(海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033)
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| 摘要: |
| 为解决宽带干扰对消中的多源干扰抑制问题,建立多源宽带干扰对消的理论模型,得到了取样天线和时域滤波器数量对干扰抑制性能的影响规律。分析干扰源间相关性对干扰抑制性能的影响,研究多干扰源和单干扰源干扰对消比的差异性,提出压缩系数作为衡量多干扰源干扰对消比的指标,并得到了多源宽带干扰对消的干扰抑制需求。实验结果表明,增大取样天线和时域滤波器数量可以显著提高双干扰源的干扰对消比。在相同场景下,双干扰源的干扰对消比低于单干扰源10 dB以上,而且随着双干扰源的功率差变大,压缩系数降低,干扰对消比逐渐降低。当二者的功率差超过25 dB后,压缩系数接近于1,双干扰源等效为单干扰源。 |
| 关键词: 多干扰源 相关性 干扰对消比 干扰抑制需求 |
| DOI：10.11887/j.cn.202405003 |
| 投稿日期：2022-10-28 |
| 基金项目:国家重点研发计划资助项目(2021YFF1500100)；国家杰出青年科学基金资助项目(52025072)；国家自然科学基金资助项目(62001497)；电磁能技术全国重点实验室基金资助项目(614221722051401) |
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| Analysis of modeling and interference suppression requirement of multi-source wideband interference cancellation |
| QIN Huanding, MENG Jin, HE Fangmin, GE Songhu, XING Jinling, WANG Hengfeng |
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(National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China)
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| Abstract: |
| To solve the problem of multi-source interference suppression in wideband interference cancellation, the theoretical model of multi-source wideband interference cancellation was established, and the influence law of the number of sampling antennas and time-domain filters on the interference suppression performance was obtained. The effect of correlation between interference sources on interference suppression performance was analyzed, and the difference of ICR(interference cancellation ratio) between multiple interference sources and single interference source was studied, and the compression coefficient was proposed as an index to measure the interference cancellation ratio of multiple interference sources. And the interference suppression requirement of multi-source wideband interference cancellation was obtained. Experiment results show that increasing the number of sampling antennas and time domain filters can significantly improve the interference cancellation ratio of the double interference sources. Besides, in the same scene, the ICR of double interference sources is more than 10 dB lower than that of single interference source. As the power difference between two interference sources becomes larger, the compression coefficient decreases, and the interference cancellation ratio gradually decreases. When the power difference between the two sources exceeds 25 dB, the compression coefficient is close to 1, and the double interference sources are equivalent to single interference source. |
| Keywords: multiple interference sources relevance interference cancellation ratio interference suppression requirement |
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