摘要
针对大瞬时带宽侦察接收机在截获信号时因噪声的非理想特性引起的弱信号漏检问题,提出一种把频谱作为一维灰度图像进行形态学处理的信号检测方法。对Welch谱进行形态学运算,估计噪声基底并对频谱进行修正,对修正的频谱进行恒虚警处理估计检测门限,根据修正频谱与门限值的比较来判决信号的存在性。仿真结果表明,该方法能较好地估计噪声基底,在给出的非平坦噪声环境下实现对弱信号的正确检测。由于计算量小,这一方法适合于硬件实现。
As large instantaneous-bandwidth reconnaissance receiver may miss weak signals when intercepting signals corrupted by non-ideal noise, a novel method of signal detection based on morphological filter is proposed to process the received spectrum as one-dimensional gray-scale image. Noise floor is estimated with a morphological filter to correct the Welch spectrum. A detection threshold is obtained from the corrected spectrum using the constant false alarm rate processing, and signals are detected by comparing the corrected spectrum with the threshold. Simulation results show that the noise floor can be estimated and weak signals reliably detected in a given non-flat noise environment. The proposed method is suitable for hardware implementation due to the low computational complexity.
出处
《应用科学学报》
CAS
CSCD
北大核心
2009年第4期343-347,共5页
Journal of Applied Sciences
基金
国家部委预研基金(No.113030401)资助项目
关键词
无线电侦察
信号检测
噪声基底估计
形态学滤波
radio intelligence, signal detection, noise floor estimation, morphological filter
