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提出了一种采用超宽带(UWB)高斯脉冲的测距系统,利用搜索者优化算法(SOA)搜索本地信号和接收信号之间相关的峰值,计算检测距离。分析了给定信噪比下接收机的相关结果、采用SOA的搜索过程以及搜索结果的概率分布。同时,在各信噪比下,与现有的步进相关法及门限判别法进行比较,仿真结果表明,信噪比在15 dB以上的系统测距测量误差达到3 cm,其性能优于门限判别法,而与步进相关检测法相当,但运算量较之减少84%左右。因此,该系统在高精度测距中极具实用价值。
A UWB (Gaussian Pulse) -based ranging system is proposed to search for the correlation distance between the local signal and the received signal by using the Seeker Optimization Algorithm (SOA). The receiver correlation results for a given signal-to-noise ratio, the search process using SOA, and the probability distribution of search results are analyzed. At the same time, compared with the existing step correlation method and threshold discrimination method, the simulation results show that the performance of the system is better than the threshold when the error of the system ranging from 15 dB to SNR is 3 cm Discriminant method, but with the step-by-step detection method is quite, but the amount of computation is reduced by about 84%. Therefore, the system is highly practical in high-precision ranging.