首页 | 本学科首页   官方微博 | 高级检索  
     

SFM干扰和高动态环境下DBOC信号的捕获
引用本文:张天骐,冯嘉欣,周琳,胡延平.SFM干扰和高动态环境下DBOC信号的捕获[J].信号处理,2020,36(11):1931-1939.
作者姓名:张天骐  冯嘉欣  周琳  胡延平
作者单位:重庆邮电大学通信与信息工程学院/信号与信息处理重庆市重点实验室
基金项目:国家自然科学基金项目(61671095,61702065,61701067,61771085);信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003);重庆市研究生科研创新项目(CYS19248);重庆市教育委员会科研项目(KJ1600427,KJ1600429)
摘    要:针对DBOC信号在正弦调频干扰(sinusoidal frequency modulation, SFM)和高动态共存环境下的捕获方法匮乏的问题,提出了一种基于正弦调频变换(discrete sinusoidal frequency modulation transform, DSFMT)结合离散多项式相位变换(discrete polynomial-phase transform, DPT),线性调频Z变换(CZT)的捕获方法。首先对接收到的信号做DSFMT,接着确定干扰位置并置零再做IDSFMT完成SFM干扰的抑制,然后利用定阶算法确定干扰抑制后信号的动态阶数再通过DPT去除其高阶动态项,最后利用CZT算法完成信号的捕获。仿真结果表明,在相同条件下,本文算法的检测概率比DSFMT-apFFT算法提高大约17 dB,比PMF-apFFT算法提高大约30 dB,比PMF-FFT算法提高大约34 dB。 

关 键 词:正弦调频变换    离散多项式相位变换    线性调频Z变换    高阶双二进制偏移载波
收稿时间:2020-05-27

Acquisition of DBOC signal in SFM interference and high dynamic environment
Affiliation:School of Communication and Information Engineering/Chongqing Key Laboratory of Signal and Information Processing (CQKLS&IP), Chongqing University of Posts and Telecommunications (CQUPT)
Abstract:Aiming at the problem of the lack of acquisition methods for high-order Double Binary Offset Carrier signals under the conditions of sinusoidal frequency modulation (SFM) interference and high dynamic coexistence, An acquisition algorithm based on discrete sinusoidal frequency modulation transform (DSFMT) combined with discrete polynomial phase transform(DPT) and linear frequency modulation Z transform (CZT) is proposed. The algorithm first performs DSFMT on the received signal. Then determine the interference position and set it to zero, then do IDSFMT to complete the suppression of SFM interference. Then use the order operation to determine the dynamic order of the signal after interference suppression, and then remove its high-order dynamic terms through DPT. Finally, the CZT Algorithm is used to acquisition the signal. The simulation results show that,under the same condition, the detection probability of this algorithm is about 17 dB higher than that of DSFMT-apFFT algorithm,about 30 dB higher than that of PMF-apFFT algorithm and about 34 dB higher than that of PMF-FFT algorithm. 
Keywords:
点击此处可从《信号处理》浏览原始摘要信息
点击此处可从《信号处理》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号