摘要
对于GSM相控阵无源雷达接收机获取的目标数据提出一种用最佳后验感知的神经网络进行处理的算法,在复杂的杂波及噪声背景下,相比于流行的卡尔曼滤波,提高了目标的检测跟踪精度,对促进GSM无源探测系统实用化具有重要意义。
An optimum posterior sense neural network for processing the target data of phased array receiver based on GSM signal is verified. Under the complex circumstance of clutter and noise, it succeed in target detdection, improved the track precision than that of kalman filter, and this is valuable for practical application of GSM based passive radar.
出处
《电子设计工程》
2012年第4期79-81,共3页
Electronic Design Engineering
基金
省教育厅自然科学基金项目(2011C510009)
