基于UWB泊车定位的OVSF-TH改进算法研究

为提高超宽带技术(ultra wide band,UWB)室内多用户定位检测抗干扰能力,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(orthogonal variable spread factor,OVSF-TH)改进算法.在此基础上,为进一步提高定位精度,同时提出采用基于最小化残差平方和(residual sum of squares,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.

Improved algorithm of OVSF-TH based on UWB parking positioning

In parking-lot applications, in order to improve anti-interference ability of UWB indoor positioning detection with multiple users, the paper puts forwards an improved algorithm of orthogonal variable spread factor ( OVSF-TH) in which spread factor is automatically matched with the size of interference. Meanwhile, to further improve the positioning accuracy, the paper also proposes a joint detection method, which combines with two traditional algorithms, i. e. maximum-likelihood estimation algorithms based on RSS( residual sum of squares) 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.