LI Rui,TANG Shun-xian,HE Jian-xin.Application of MTM Algorithm in all Solid-state Weather Radar with LFM Signal Transmission[J].Journal of Chengdu University of Information Technology,2016,(01):42-48.
MTM 算法在全固态天气雷达LFM 信号中的应用
- Title:
- Application of MTM Algorithm in all Solid-state Weather Radar with LFM Signal Transmission
- 文章编号:
- 2096-1618(2016)01-0042-07
- Keywords:
- atmospheric sounding; signal processing for weather radar; LFM signal; multitaper method ; sidelobe sup- pression
- 分类号:
- TN958. 3
- 文献标志码:
- A
- 摘要:
- 全固态天气雷达具有较高的可靠性和较好的可维护性,但由于发射功率受到固态发射器件的限制,通常 需采用脉冲压缩技术来解决探测距离与距离分辨力之间的矛盾。LFM 信号因其具有对目标的多普勒频移不敏感 的特性而被用作脉冲压缩体制雷达的发射信号。经过脉压后的LFM 信号一般通过汉明窗加权来降低过高的旁 瓣,但由于脉压信号频谱菲涅尔波纹的存在使得输出信号功率图起伏严重,从而对雷达的多目标检测能力产生影 响。根据多正弦窗的平滑特性,基于多窗谱估计算法(MTM)提出了一种将多正弦窗加权网络与汉明函数相结合的 新的加权处理方法,并将此种方法运用于LFM 脉压信号处理的详细过程进行了介绍。通过计算机仿真实验表明: 将多正弦窗加权网络应用到LFM 信号的脉冲压缩技术中在有效降低旁瓣的同时能起到平滑功率图噪声基底,控 制主瓣展宽宽度的效果,并且在实际的外场试验中验证能达到应用需求。
- Abstract:
- All solid-state weather radar has high reliability and maintainability. However, the low peak power of solidstate transmitter degrades the detection distance and range resolution. A Linear Frequency Modulated (LFM) signal is commonly used in pulse compression radar system because it is not affected by Doppler shift during compression of the radar echoes in the matched filter. Nevertheless, the main drawbacks of pulse compression is high range sidelobes. The most common way of suppressing sidelobes is to use weighting functions. The Fresnel wave is subsistent on the frequency spectrum of compressed signal, it makes the power diagram of output signal serious fluctuation and serious impact the de- tection performance of weather radar. This paper presents a new weighting network which is based on the multitaper method (MTM) and the characteristics of multiple sinusoidal window and Hamming window. This method will be intro- duced in detail and has been implemented in the compressed LFM signal. The computer simulation experiments show that: multiple sinusoidal weighted network can effective reduce the side lobe, control the main lobe width and smooth noise base in the used of compressed LFM signal. In addition, it can meet the application requirements in the field ex- periments.
参考文献/References:
[1] 杨斌,武剑辉,向敬成. 非线性调频信号时域旁
瓣抑制滤波器设计[J]. 信号处理, 1999,(S1):
31-35.
[2] 李江,张德波,易宏斌,等. 一种正切调频与混沌
编码复合信号脉冲压缩及旁瓣抑制[ J]. 船电
技术, 2011,(7):5-7;69.
[3] 林茂庸, 柯有安. 雷达信号理论[ M]. 北京:国
防工业出版社, 1984:138-143.
[4] 张瓅玶, 彭应宁, 王秀坛,等. 滑窗式线性调频
及衍生多相码旁瓣抑制滤波器[ J]. 清华大学
学报:自然科学版, 2001,41(1):20-23.
[5] 何建新,唐顺仙,李睿,等. 全固态天气雷达组合
脉冲发射模式的研究与设计[ J]. 高原气象,
2014,(6):1730-1736.
[6] 唐顺仙, 何建新, 史朝. 脉冲压缩技术在全固
态天气雷达中的实现[ J]. 电子技术应用,
2014,(2):122-124.
[7] 史朝,范凯波,李学华,等. X 波段全固态天气雷达降水探测能力的研究[ J]. 大气科学学报,
2013,(3):379-384.
[8] 吴海军,陆建兵,李兆明,等. 基于脉冲压缩技术
的全固态天气雷达[J]. 现代雷达, 2014,(7):5-
9.
[9] 吴海军,陆建兵. 全固态双线偏振多普勒天气雷
达系统设计[J]. 信息化研究, 2014,(4):20-25.
[10] O'Hora F, Bech J. Operational Use of Pulse
Compression in Weather Radar[ C]. Albuquer-
que, NM, USA:11th Conference on Mesoscale
Processes and the 32nd Conference on Radar
Meteorology, 2005.
[11] Bharadwaj N,Chandrasekar V. Wideband Wave-
form Design Principles for Solid-State Weather
Radars[J]. Journal of Atmospheric and Oceanic
Technology, 2012,29:14-31.
[12] 唐顺仙. 固态发射体制天气雷达部分性能优化
的研究[D]. 成都:成都信息工程学院,2013.
[13] 吴红卫, 吴镇汤, 赵鹤鸣, 等. 多正弦窗谱估
计的性能分析[ J]. 信号处理, 2007,23(6):
932-936.
[14] 张峰, 石现峰. 多正弦窗谱估计应用于振动信
号频谱分析[ J]. 西安工业大学学报, 2010,
30(4):337-391.
[15] 李晓伟,曾毓敏,汤小飞基于多正弦窗谱估计
的改进谱减法语音增强[ J]. 信息化研究,
2009,35(12):18-21.
[16] 彭军, 王忠, 刘兴涛,等. 基于多窗谱相关加权
语音增强[J]. 计算机仿真, 2011,28(3):142
-145.
相似文献/References:
[1]范 艺,张 杰,朱克云,等.北京地区HTG-3型微波辐射计资料的定量分析[J].成都信息工程大学学报,2016,(02):156.
FAN Yi,ZHANG Jie,ZHU Ke-yun,et al.The Quantitative Analysis of HTG-3 Microwave
Radiometer Data in the Beijing Area[J].Journal of Chengdu University of Information Technology,2016,(01):156.
[2]谢 欢,杨笔锋,张 怡.成都市年降水量时空分布特征[J].成都信息工程大学学报,2022,37(03):356.[doi:10.16836/j.cnki.jcuit.2022.03.017]
XIE Huan,YANG Bifeng,ZHANG Yi.Temporal and Spatial Distribution Characteristics of Annual Precipitation in Chengdu[J].Journal of Chengdu University of Information Technology,2022,37(01):356.[doi:10.16836/j.cnki.jcuit.2022.03.017]
备注/Memo
收稿日期:2015-12-28 基金项目:国家自然科学基金资助项目(41375043);四川省高校重 点实验室开放课题资助项目(QGX16014);四川省高校人文社会科学重 点研究基地开放课题资助项目(ZHYJ15-YB15)