Advanced Search
Volume 22 Issue 1
Jan.  2000
Turn off MathJax
Article Contents
NIU Yafeng, WANG Jiahao, WU Jinchun, XUE Chengqi, YANG Wenjun. Ergonomic Study on Element Size and Spacing of Brain Computer Interface Based on SSVEP[J]. Journal of Electronics & Information Technology, 2022, 44(2): 455-463. doi: 10.11999/JEIT211040
Citation: Yang Bin, Xiang Jingcheng, Liu Sheng. A METHOD TO DESIGN DIGITAL PULSE COMPRESSION FILTERS FOR SIDELOBE SUPPRESSION[J]. Journal of Electronics & Information Technology, 2000, 22(1): 124-129.

A METHOD TO DESIGN DIGITAL PULSE COMPRESSION FILTERS FOR SIDELOBE SUPPRESSION

  • Received Date: 1998-05-28
  • Rev Recd Date: 1998-11-26
  • Publish Date: 2000-01-19
  • This paper uses iteratively reweighted least square method to design pulse compression filters,which is applicable to biphase code:polyphase code,LPM and NLFM signals.As we redefine the object function and constraint condition, the performance of this method is superior to that of the conventional frequency domain weighted window method.When the Doppler frequency shift fd=0 and the coefficient of 4dB mainlobe width is kept to be 1 and the compression ratio is not high and the tap number of FIR filter is limited, the peak sidelobe level is less than -40dB.
  • 林茂庸,柯有安.雷达信号理沦.北京:国防工业出版社,1984.[2]Richaczek A W,Golden R M.Range sidelobe suppression for Barker codes IEEE Trans on AES、1971,AES-7(6):1087-1092.[3]陈瑶琴,陈晓华.Barker码脉压滤波器优化设计及性能研究.电子学报,1986,14(6):91-98.[4]Ackroyd M H,Ghani F.Optimum mismatched filters for sidelobe suppression.IEEE Trans on AES,1973,AES-9(2):214-217.[5]Baden J M, Cohen M N.Optimal peak sidelobe filters for biphase pulse compression Proc of IEEE International Radar Conference,New York:1990,249-252.[6]Griep K R,Ritchy J A,Burlingame J J.Poly-phase codes and optimal filters for multiple user ranging. lEEE Trans on AES, 1995,AES-31(2):752-767.
  • Cited by

    Periodical cited type(10)

    1. 杨小龙,何艾琳,周牧,蒋青,田增山. 基于Wi-Fi穿墙雷达的无源移动目标检测方法. 重庆邮电大学学报(自然科学版). 2020(01): 74-84 .
    2. 晋良念,蒋佳琪. 交替迭代最小化稀疏穿墙成像快速算法. 雷达科学与技术. 2019(04): 371-378+388 .
    3. 赵继芳,晋良念,刘庆华. 穿墙雷达建筑物结构布局稀疏成像方法. 雷达科学与技术. 2019(05): 569-574 .
    4. 晋良念,冯飞,刘庆华,欧阳缮. 利用块间耦合稀疏贝叶斯学习的建筑物布局成像方法. 电子与信息学报. 2018(04): 853-859 . 本站查看
    5. 冯飞,晋良念,刘琦. 基于优化最小化框架的墙体成像算法. 雷达科学与技术. 2018(01): 37-42 .
    6. 唐茜,晋良念,刘庆华. 基于方位向互相干因子的建筑物布局成像. 雷达科学与技术. 2018(02): 139-144 .
    7. 戴耀辉,晋良念. 联合感知矩阵优化的穿墙MIMO阵列稀疏成像方法. 现代雷达. 2018(12): 34-40 .
    8. 屈乐乐,葛亚楠,蓝晓宇. 基于低秩稀疏约束的穿墙雷达成像算法. 电讯技术. 2017(10): 1122-1127 .
    9. 张燕,晋良念. 结合TV约束的穿墙雷达扩展目标成像方法. 雷达科学与技术. 2017(03): 229-235 .
    10. 晋良念,戴耀辉,刘庆华. 穿墙雷达扩展目标自聚焦稀疏成像方法. 雷达科学与技术. 2017(06): 585-592 .

    Other cited types(8)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2272) PDF downloads(669) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return