摘要
针对在无源探测大带宽信号的过程中会产生跨信道失真问题,提出了一种跨信道可重构的信道化方法。首先经过均匀滤波器组粗滤波,再引入检测时间自适应的双门限能量检测机制,对粗滤波信号进行跨信道判决,之后对各个跨信道信号分别进行可重构信道化设计,从而恢复出原始信号。与传统的数字信道化方法相比,该算法能够更新能量检测门限对跨信道信号进行实时判决,对跨信道信号的重构准确率高于98.3%,实现了对跨子信道带宽信号的近似无失真重构。Matlab仿真结果验证了算法的有效性。
To solve the distortion problem of large wideband signal in passive detection,this paper presents a channelized method to reconstruct the signal across the channel. Through coarse filtering by uniform filter banks, double threshold energy detection mechanism with detection time adaptive is introduced to decide whether it＇s the signal across channel or not , and then the channelized reconstruction method is adopted to solve the spectrum division and distortion problem of cross-channel signals, so as to recover the primary signals. Compared with traditional digital channelized processing method, the proposed algorithm can make real-time decision by updating the energy detection threshold, get a reconstruction accuracy rate of 98.3% above, and realize approximately perfect reconstruction of the wideband cross-channel signals. Matlab sim- ulation proves the effectiveness of the algorithm.
出处
《电讯技术》
北大核心
2017年第2期191-196,共6页
Telecommunication Engineering
关键词
无源探测
大带宽信号
粗滤波
双门限
信道判决
无失真重构
passive detection
large wideband signal
coarse filtering
double threshold
channel decision
perfect reconstruction
