一种基于四分位距的干扰检测算法
An Interference Detection Algorithm Based on Interquartile Range

为解决前向连续均值去除算法实现复杂度较高、实时性不足的问题，在深入分析传统干扰检测算法基础上，提出基于四分位距的干扰检测算法，引入四分位距对均值最小分组频谱进行检测，抽取到尽可能接近底噪的水平均值计算判决门限值，解决了传统FCME算法需要多次迭代的问题，提高处理效率。仿真结果表明，提出的算法底噪估计值与理论值最大偏差优于FCME算法，使用的排序次数更少，在多个干扰信号存在条件下具有较低的误码率。
In order to solve the problem of high complexity and poor real-time performance of the forward continuous mean removal algorithm (FCME), an interference detection algorithm based on the interquartile range is proposed. By analyzing the principle of the traditional interference detection algorithms, the interquartile range was used to detect the minimum mean packet spectrum of the sampled signal. Then the judgment threshold as close as possible to the mean of the background noise is computed. Because the sorting process is removed, the efficiency of the algorithm is improved. The simulation results show that the maximum deviation between the estimated noise floor value and the theoretical value of the proposed algorithm is better than the maximum deviation of the FCME algorithm. The error rate is low under multiple interference signal conditions.