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一种新的阵列信号降维SMI算法的性能分析

PERFORMANCE ANALYSIS OF A NEW REDUCED-DIMENSION SMI ALGORITHM FOR ADAPTIVE ARRAYS

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【作者】 罗毅顾红刘国岁

【Author】 Luo Yi Gu Hong Liu Guosui (Institute of Photo and Electronics of Nanjing University of Science and Technology,Nanjing, 210094)

【机构】 南京理工大学电光学院!江苏南京210094

【摘要】 本文从信杂噪比损失因子的角度出发 ,研究了利用随机降维变换矩阵对阵列信号进行 SMI降维自适应 (样本协方差矩阵求逆法 )处理时输出信杂噪比的变化情况。通过分析发现 ,降维变换矩阵对降维自适应处理的性能有很大影响。特别地 ,对文中给出的一种降维变换矩阵做了深入的研究。

【Abstract】 Performance of reduced dimension adaptive arrays is discussed It is pointed out that, when covariance matrix of the clutter is known, reduced dimension adaptive processing can be implemented without any loss in performance compared with that of the full dimension adaptive processing, provided a specific reduced dimension transform is applied When the covariance matrix of the clutter is unknown, reduced dimension adaptive processing can also be implemented by using a random transform matrix, and its performance can be controlled

  • 【分类号】TN95
  • 【被引频次】1
  • 【下载频次】192
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