基于窄带干扰缓和技术的到达时间估计

针对传统能量检测算法在强窄带干扰存在时到达时间（time of arrive,TOA）估计精度不高的问题，采用了一种结合平方律器件和带通滤波器的平方滤波技术来缓和窄带干扰对TOA估计的影响，并分别在IEEE 802.15.4a CM3视距信道和CM4非视距信道下与TOA估计方法相结合得到系统的估计结果.理论分析和仿真结果表明，存在窄带干扰时，采用了平方滤波技术的能量检测方法比传统的能量检测方法具有更高的TOA估计精度.在视距环境中应用平方滤波技术后，TOA估计精度可从2.8 ns提升至0.5 ns，而非视距环境中可从6 ns提升至1 ns.

TOA Estimation Based on Narrowband Interference Mitigation Technique

Focused on the low accuracy of time of arrive (TOA) estimation in traditional energy detection methods with the presence of narrowband interference, a square filtering technique combining square-law device and band-pass filter is used to eliminate the influence of narrowband interference on TOA estimation in this paper. Then the TOA estimation algorithm is applied to get output estimation results with the IEEE 802.15.4 CM3 channels and CM4 channels. Theoretical analysis and simulation results show that the proposed ED method using square filtering technique has higher TOA estimation accuracy than the traditional ED method in the presence of strong NBI. In the line-of-sight (LOS) environment, the TOA estimation accuracy can be improved from 2.8 ns to 0.5 ns after applying the square filtering scheme, and in non-line-of-sight (NLOS) environment, it can be improved from 6 ns to 1 ns.