Some methods of weakening sensor noise are propounded.
本文提出了削弱传感器噪声的一些方法。
We can divide the colored noise into stationary colored noise and non-stationary colored noise by their sensor noise power and the relativity between their sensor noise.
按照阵元噪声功率是否相等以及阵元间噪声的相关性，本文将色噪声分为空间平稳色噪声以及空间非平稳色噪声。
The result shows that when the mean root square of sensor noise is less than 10m, TERCOM algorithm can achieve matching probability of 90%, while the CEP of SITAN is 60~70 meters.
试验结果表明，当传感器噪声的均方根小于10米时，TERCOM算法可以获得大于90%的匹配概率，SITAN算法也可以达到60~70米的CEP圆概率 误差。
The result shows that when the mean root square of sensor noise is less than 10m, TERCOM algorithm can achieve matching probability of 90%, while the CEP of SITAN is 60~70 meters.
试验结果表明，当传感器噪声的均方根小于10米时，TERCOM算法可以获得大于90%的匹配概率，SITAN算法也可以达到60~70米的CEP圆概率 误差。
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