徐玉清, 周新建, 沈晓强. 辐射目标被动探测的阵列信号反演算法研究[J]. 电波科学学报, 2013, 28(5): 904-910.
      引用本文: 徐玉清, 周新建, 沈晓强. 辐射目标被动探测的阵列信号反演算法研究[J]. 电波科学学报, 2013, 28(5): 904-910.
      XU Yuqing, ZHOU Xinjiang, SHEN Xiaoqiang. Array signal inversion algorithm in radiant object passive detection[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(5): 904-910.
      Citation: XU Yuqing, ZHOU Xinjiang, SHEN Xiaoqiang. Array signal inversion algorithm in radiant object passive detection[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(5): 904-910.

      辐射目标被动探测的阵列信号反演算法研究

      Array signal inversion algorithm in radiant object passive detection

      • 摘要: 综合孔径微波辐射计的空间分辨率受阵列物理孔径限制,阵列波束范围内的目标无法分辨,限制了其进一步发展和应用. 阵列信号处理中的现代空间谱估计算法可以突破空域傅里叶变换限,实现波束范围内目标角度和功率的超分辨估计.文中将阵列信号处理算法引入到辐射目标探测中,建立了基于阵列信号处理的目标辐射亮温反演模型.仿真及实验结果证明该模型算法具有超越阵列波束的辐射目标超分辨估计特性,验证了模型的可靠性,并探讨了信号相关性、信噪比等对算法的影响.

         

        Abstract: The aperture synthesis microwave radiometer spatial resolution is restricted to the antenna array physical aperture, and the targets in an array beam range can not be distinguished, which limits its further development and application. Modern spatial spectrum estimation algorithm in the concept of array signal process can break through the airspace Fourier transform limitation and realize the superresolution estimation to the targets in an array beam witdth. Using array signal process algorithm to the radiant object passive detection, this paper present an object radiation brightness temperature inversion mode based on the array signal process theory. The simulation and experiment result show that the mode, compared to aperture synthesis algorithm, can take the super resolution estimation to radiant targets. Moreover, the effects of signal correlation and signal to noise ratio on the algorithm are studied.

         

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