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一种新的阵列天线校正方法 被引量:4

A New Calibration Method of Array Antenna
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摘要 基于特征值分解的高分辨率DOA估计算法,如MUSIC算法,在理想阵列条件下,性能很好,但是对噪声扰动和系统误差都很敏感,噪声扰动和系统误差会严重恶化这一类算法的性能,使其分辨率下降。本文提出一种基于MUSIC算法的阵列校正方法,它仅仅需要在阵列周围满足远场条件的地方布置几个RF信号源,不需要知道信号源的方位角。仿真结果证明,这种方法行之有效。 The high-resolution eigenstructure-based DOA estimation methods, such as MUSIC algorithm, have an excellen performance in ideal cases. Their performance is susceptible to noise perturbation and array error and degrade significantly when array is with error. An calibration method MUSIC-based is present in this paper. It need only some RF signal generator palaced in the far-field without knowledge of DOA of incidence signal. Computer simulation illustrate that the method is effective.
出处 《信号处理》 CSCD 2003年第5期404-406,共3页 Journal of Signal Processing
基金 抗干扰通讯国防重点实验基金
关键词 阵列天线 校正方法 空分多址 噪声扰动 移动通信 DOA array spatial signature calibration
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参考文献4

  • 1G Tsoulos, J McGeehan, and M Beach. "space division multiple access (SDMA) field trials- part2: calibration and linearity issues ," Proc Inst Elec Eng, Radar, Sonar Navig, vo1.145, No.l, Feb. 1998.
  • 2R Miura and Y Matsumoto. "A calibration method for DBF receiving array antenna by using maximal-ratio-combining weights," IEICE Tech Rep, A.p-97-96,1997.
  • 3A paulraj and T kailath. "Direction of arrival estimation by eigensaucture methods with unknown sensor gain and phase," in Proc IEEE ICASSP'85, pp.640-643. 1985.
  • 4A J Weiss and B Friedlander. "Eigenstrucmre methods for direction finding with sensor gain and phase uncertainty,"Circuits, System &Signal Processing, vol.9, no.3,pp.271-300, March,1990.

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