Performance Comparison of Unimodular Sequence Using CA, CAN, WeCAN Algorithms

被引：0

作者：

Manda, Rajasekhar ^{[1
]}

Kumar, P. Rajesh ^{[1
]}

机构：

[1] Andhra Univ Coll Engn, Dept ECE, Vishakhapatnam, India

来源：

2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年

关键词：

Autocorrelation; Merit Factor; Ambiguity Function; Unimodular sequence; Integrated side lobe level; CAN Algorithm; WeCAN Algorithm; FILTERS; DESIGN; RADAR;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Most of RADAR devices are capable of transmitting many different types of waveforms. Certain types of waveforms are better suited for detecting how fast an object is traveling, while others are better at detecting the range resolution of an object. Applications such as radar, sonar and medical imaging, demand proper designs of the probing waveform. A well-synthesized waveform can significantly increase the system performance in terms of signal-to-interference ratio, Merit factor, ISL (integrated side lobe level), PSLR (peak side lobe ratio), spectrum containment, beam pattern matching, target parameter estimation and so on. The focus of this work is on designing probing waveform i.e Unimodular sequence using computational algorithms CA, CAN & WeCAN with AF (Ambiguity Function) plots. These are best suited for designing probing sequence in COGNITIVE RADAR.

引用

页码：1670 / 1676

页数：7

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