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中文摘要：
在单站无源定位系统中，UKF算法由于采用UT变换，算法的性能虽然要优于EKF及衍生算法，但是增加了计算量。为了减小UKF算法的计算量，易于算法的实时实现，提出了一种基于施密特正交变换的UKF滤波算法。该算法在遵循采样点选取准则的前提下，对所选取的采样点进行施密特正交变换，减少了采样点的数量。计算机仿真结果表明，该算法在保证定位跟踪滤波精度的前提下减小了计算量，提高了计算效率。
英文摘要：
In single-observer passive location, the performance of the Unscented Kalman Filter （UKF） using Unscented Transform （UT） is better than that of Extend Kalman Filter （EKF） and its derivative algorithms. But UKF has more amount of computation. To solve the problem, an improved filter algorithm based on Schmidt orthogonal transform was proposed. The algorithm followed the selection criterion for sampling point, and used Schmidt orthogonal transform sampling strategy to reduce the number of sampling points. The algorithm was applied in passive locating of a moving emitter. The computer simulation results show that the algorithm can reduce the computation cost and improve the calculation efficiency while keeping a satisfactory filtering precision.
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