另外，当信源的运动速度达到一定程度时，TDBS算法的统计性能要优于空间平滑算法。
In addition, the performance of the TDBS is better than the spatial smoothing method when the velocity of the source reach the certain degree.
常规的空间平滑算法存在着阵列孔径利用率低、计算过程复杂的缺点，另外，其平滑次数受阵元数及信源数的限制。
The conventional spatial smoothing algorithm has low array aperture utilization and complex calculation process. And it's smoothing frequency is limited by the number of array sensors and sources.
因此我们首先需了解希伯特空间背景的基本观念，接着针对RKHS的解释说明平滑算法和先验算法之间的关系。
We first provide the background to the concept of Hilbert space, introduce RKHS, and then clarify the relation between smoothness and apriori knowledge on the solution in RKHS.
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