针对无线电干涉定位系统(RIPS)受模糊解问题的制约,难以适用于大范围稀疏布设的无线传感器网络的缺点,提出了一种两频率间隔配置方法(two frequency intervals method,TFIM).通过理论和仿真分析,得到RIPS定位精度与测量频率数及测量系...针对无线电干涉定位系统(RIPS)受模糊解问题的制约,难以适用于大范围稀疏布设的无线传感器网络的缺点,提出了一种两频率间隔配置方法(two frequency intervals method,TFIM).通过理论和仿真分析,得到RIPS定位精度与测量频率数及测量系统占据的总带宽的平方成正比的结论.仿真与实验结果表明:在相同的测量频率数和带宽条件下,TFIM可以在保持定位精度的同时显著扩大节点的布设距离,克服了大距离布设时的系统定位精度不高的问题,拓展了RIPS的应用范围.展开更多
The similarity transformation model between different coordinate systems is not accurate enough to describe the discrepancy of them.Therefore,the coordinate transformation from the coordinate frame with poor accuracy ...The similarity transformation model between different coordinate systems is not accurate enough to describe the discrepancy of them.Therefore,the coordinate transformation from the coordinate frame with poor accuracy to that with high accuracy cannot guarantee a high precision of transformation.In this paper,a combined method of similarity transformation and regressive approximating is presented.The local error accumulation and distortion are taken into consideration and the precision of coordinate system is improved by using the recommended method展开更多
文摘针对无线电干涉定位系统(RIPS)受模糊解问题的制约,难以适用于大范围稀疏布设的无线传感器网络的缺点,提出了一种两频率间隔配置方法(two frequency intervals method,TFIM).通过理论和仿真分析,得到RIPS定位精度与测量频率数及测量系统占据的总带宽的平方成正比的结论.仿真与实验结果表明:在相同的测量频率数和带宽条件下,TFIM可以在保持定位精度的同时显著扩大节点的布设距离,克服了大距离布设时的系统定位精度不高的问题,拓展了RIPS的应用范围.
文摘The similarity transformation model between different coordinate systems is not accurate enough to describe the discrepancy of them.Therefore,the coordinate transformation from the coordinate frame with poor accuracy to that with high accuracy cannot guarantee a high precision of transformation.In this paper,a combined method of similarity transformation and regressive approximating is presented.The local error accumulation and distortion are taken into consideration and the precision of coordinate system is improved by using the recommended method