摘要
为提高UWB室内多用户定位检测抗干扰能力,文中提出了一种能够根据信号干扰大小自动匹配扩频因子(OVSF)的调制波形OVSF-TH。在此基础上,为有效减少OVSF-TH码阻塞、充分利用码资源,提出了极左碎片法,并与常见的降低组码率的权重法、极左法、随机法进行对比。仿真结果表明,改进后的OVSF-TH算法,在性能上优于传统2PPM-TH定位算法以及DS-UWB定位算法,极左碎片算法能够有效地减少码阻塞出现的概率,且速度上优于权重法。
To improve the multiuser interference ability of UWB indoor location detection,a modulation waveform OVSF-TH according to signal interference the size of the automatic matching of orthogonal variable spreading factor( OVSF) is presented. On this basis,to reduce the OVSF-TH code blocking and use code resources,an ultra-leftist debris algorithm is proposed and compared with a common lower group rate of weight method,the ultra-leftist method,random method. Simulation results show that performance of the improved OVSF-TH algorithm,is better than that of traditional 2PPM-TH localization algorithm and DSUWB positioning algorithm; the ultra-leftist debris algorithm can reduce the probability of blocking code.Thus it superior to the weight method at the speed.
出处
《南京邮电大学学报(自然科学版)》
北大核心
2016年第1期78-83,共6页
Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition