一种利用叠加降噪提高二次相关TDOA精度的方法
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摘要
二次相关TDOA算法具有一定的抗噪声性能,但在信噪比很低的条件下无法准确估计出时延。针对二次相关TDOA算法,在低信噪比下可能存在误差的情况,提出了利用叠加降噪提高接收信号的信噪比的新方法,从而提高算法精度。在接收到信号后,算法依据统计学的理论,采用信号叠加降噪的方法提高信号的信噪比,从而提升二次相关TDOA结果的精度。通过仿真结果表明,在低信噪比的情况下改进后的算法在较大程度上提升了时延估计的精度,提高了二次相关TDOA的应用范围。
The second order correlation TDOA algorithm has a certain anti-noise capability, but it can not accurately estimate the delay at very low signal-to-noise ratio( SNR). Aiming at the error of the second order correlation TDOA algorithm at low SNR, a new method using superimposed noise reduction to improve the SNR of the received signal is proposed to improve the accuracy of the algorithm. After receiving the signal, the algorithm improves the SNR of the signal by using superimposed noise reduction based on the statistical theory,thereby improving the accuracy of the second order correlation TDOA result. The simulation results show that the improved algorithm improves the accuracy of delay estimation significantly and enhances the application range of the second order correlation TDOA at low SNR.
The second order correlation TDOA algorithm has a certain anti-noise capability, but it can not accurately estimate the delay at very low signal-to-noise ratio( SNR). Aiming at the error of the second order correlation TDOA algorithm at low SNR, a new method using superimposed noise reduction to improve the SNR of the received signal is proposed to improve the accuracy of the algorithm. After receiving the signal, the algorithm improves the SNR of the signal by using superimposed noise reduction based on the statistical theory,thereby improving the accuracy of the second order correlation TDOA result. The simulation results show that the improved algorithm improves the accuracy of delay estimation significantly and enhances the application range of the second order correlation TDOA at low SNR.
引文
[1]杜天旭.基于声信号到达时间差的被动式目标定位算法与系统研究[D].杭州:浙江大学,2015.
[2]马丽,张蕊萍,杜国璋.基于TDOA的列车无线定位方法研究[J].铁道标准设计,2016,60(7):154-158.
[3]张晓玲.无源时差定位技术在高频雷达中的应用[D].西安:西安电子科技大学,2013.
[4]朱国辉.基于时差频差的多站无源定位与跟踪算法研究[D].西安:西安电子科技大学,2015.
[5]张旭.用于无线定位的TDOA算法研究与改进[D].秦皇岛:燕山大学,2014.
[6]王逸轩.现代功率谱估算法在无线电干扰信号检测中的研究与应用[D].兰州:兰州交通大学,2015.
[7]姜化京.TDOA无源定位系统的原理与实际应用(一)[J].中国无线电,2017(7):72-73.
[8]赵海霞.基于TDOA和TOA的定位技术研究[D].西安:西安电子科技大学,2014.
[9]杜娟,程擂.基于二次相关的时延估计方法研究[J].弹箭与制导学报,2010,30(6):221-223.
[10]金留念.基于二次相关的时延估计方法研究[J].电子信息对抗技术,2011,26(1):39-41,72.
[2]马丽,张蕊萍,杜国璋.基于TDOA的列车无线定位方法研究[J].铁道标准设计,2016,60(7):154-158.
[3]张晓玲.无源时差定位技术在高频雷达中的应用[D].西安:西安电子科技大学,2013.
[4]朱国辉.基于时差频差的多站无源定位与跟踪算法研究[D].西安:西安电子科技大学,2015.
[5]张旭.用于无线定位的TDOA算法研究与改进[D].秦皇岛:燕山大学,2014.
[6]王逸轩.现代功率谱估算法在无线电干扰信号检测中的研究与应用[D].兰州:兰州交通大学,2015.
[7]姜化京.TDOA无源定位系统的原理与实际应用(一)[J].中国无线电,2017(7):72-73.
[8]赵海霞.基于TDOA和TOA的定位技术研究[D].西安:西安电子科技大学,2014.
[9]杜娟,程擂.基于二次相关的时延估计方法研究[J].弹箭与制导学报,2010,30(6):221-223.
[10]金留念.基于二次相关的时延估计方法研究[J].电子信息对抗技术,2011,26(1):39-41,72.