基于云计算的嵌入式人脸识别系统建构与研究

在捕获北斗信号的过程中,接收机根据预先设定好的信号搜捕策略和门限值来捕获信号。欺骗干扰源通过产生虚假的相关峰和增加噪声基底,可以有效地干扰普通型北斗接收机正常的捕获工作。欺骗信号会增加噪声基底使得真实的卫星信号埋没,同时欺骗信号相关峰可以诱导接收机捕获到欺骗信号。针对欺骗信号检测问题,在分析欺骗信号入侵对接收机噪声基底影响的基础上,提出了在捕获阶段利用信噪比(SNR)检测技术识别欺骗干扰信号的方法,并对其有效性进行了分析。仿真结果表明,采用该方法的接收机具有一定程度的欺骗干扰识别能力,为提高GNSS接收机抗干扰能力提供了有益的参考 。

Cloud Computing-based Embedded Face Recognition System Construction and Research

The receiver acquires the BD signals according to pre-defined policies and threshold in the acquiring process. Spoofing Jamming sources can effectively interfere with ordinary BD receivers by generating a false correlation peak and increasing noise floor. Spoofing signals can increase the noise floor to bury authentic satellite signals in the noise and at the same time spoofing correlation peaks can mislead the receivers to acquire spoofing signals. In order to detect the spoofing signal,based on the analysis of the influence that the intrusion of spoofing signals can increase noise floor of the receiver ,a SNR detection method is proposed to identify spoofing signals during the acquiring process and its effectiveness is analyzed. The receiver adopting this approach has a certain degree of detecting and discriminating spoofing sources , providing a useful reference to improving anti-jamming capability of GNSS receivers.