为提高UWB室内多用户定位检测抗干扰能力，本文以停车场泊车定位检测应用为例，提出了一种能够根据信号干扰大小自动匹配的正交可变扩频因子( OVSF-TH)改进算法。在此基础上，为进一步提高定位精度，同时提出采用基于RSS的极大似然估计法与基于最小二乘法相结合的一种联合定位方法，保证了定位的可靠性与准确性。仿真结果表明，改进后的算法，在性能上优于传统2PPM-TH定位算法以及DS-UWB定位算法，因而同样适合于其他UWB室内的精确定位与应用。%In parking-lot applications,in order to improve anti-interference ability of UWB indoor positioning detection with multiple users,the paper put forwards an improved algorithm of Orthogonal Variable Spread Fac-tor( OVSF-TH) in which spread factor is automaticly matched with the size of interference. Meanwhile,to fur-ther improve the positioning accuracy,the paper also proposes a joint detection method,which combining with two traditional algorithms, i. e. maximum-likelihood estimation algorithms based on RSS and improved algorithms based on least-squares. Simulation results show that the positioning accuracy of the joint detection method is superior to traditional algorithm,so,it is also suitable for other UWB positioning applications.
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