期刊文献+

最小冗余MIMO雷达阵列设计 被引量:3

Design of Minimum Redundancy MIMO Radar Array
在线阅读 下载PDF
导出
摘要 阵列天线的优化设计对降低系统成本、提高系统性能起着关键的作用。最小冗余阵因其能用较少的物理阵元形成较大的阵列孔径而备受关注,但是其阵元位置往往只能通过穷举法搜索得到,而穷举法的运算复杂度很高,因此不利于实际应用。针对这一不足,根据组合设计理论中的循环差集的基本原理,提出了一种基于循环差集的最小冗余MIMO雷达阵列设计算法。该算法利用最少的物理阵元能够得到更大的阵列孔径,并且能解析地求出发射阵元和接收阵元的位置,适用于任意大阵元数情形的阵列优化。仿真结果表明,该算法是一种有效的最小冗余MIMO雷达阵列优化算法。 The antenna array design plays an important role in reducing the system cost and im- proving its performance. For the advantage of forming larger array aperture with fewer physi- cal antennas, the minimum redundancy array has received more and more attention. The ex- haustive search algorithm is usually used to attain the antennas~ location of minimum redun- dancy array. However, its high computational complexity prevents it from practical use. To overcome this shortcoming, according to the basic principle of cyclic difference sets (CDS) in combinatorial design theory, a new minimum redundancy MIMO radar array design algorithm based on CDS is proposed. The new method can form much larger array aperture with fewer antennas and provide analytical solutions for the antennasr location of transmit and receive ar- ray. At the same time, it can be applied to the array optimization with arbitrary large antenna number. The numerical results show that the proposed method is effective for minimum redun- dancy MIMO radar array design.
出处 《数据采集与处理》 CSCD 北大核心 2013年第4期471-477,共7页 Journal of Data Acquisition and Processing
关键词 MIMO雷达 最小冗余阵列 虚拟阵列 循环差集 优化布阵 MIMO radar minimum redundancy array virtual array cyclic difference set ar-ray optimization
  • 相关文献

参考文献13

  • 1Fishier E, Haimovich A, Blum R, et al. MIMO ra- dar: an idea whose time has come[C]//Proceedings of the IEEE Radar Conference. Philadelphia, PA: [s. n. ], 2004:71-78.
  • 2Bliss D W, Forsythe K W. Multiple-input multiple- output(MIMO) radar and imaging: degrees of free- dom and resolution[C]//Proc 37th Asilomar Con Signals, Systems, Computers. Pacific Grove, CA: [s. n. ], 2003:54-59.
  • 3Bekkerman I, Tabrikian J. Target detection and lo- calization using MIMO radars and sonars[J]. IEEE Transactions on Signal Processing, 2006, 54 (10) : 3873-3883.
  • 4Fishler E, Haimovich A, Blum R S, et al. Spatial diversity in radars-models and detection performance [J]. IEEE Transactions on Signal Processing, 2006, 54(3) :823-838.
  • 5陆珉,许红波,朱宇涛,粟毅.MIMO雷达DOA估计阵列设计[J].航空学报,2010,31(7):1410-1416. 被引量:14
  • 6粟毅,朱宇涛,郁文贤,许红波,雷文太.多通道雷达天线阵列的设计理论与算法[J].中国科学:信息科学,2010,40(10):1372-1383. 被引量:10
  • 7和洁,冯大政,李晓明.基于遗传算法和禁忌搜索的MIMO雷达天线布阵优化[J].数据采集与处理,2011,26(4):413-419. 被引量:11
  • 8Chen C Y, Vaidyanathan P P. Minimum redundancy MIMO radars[C]//Proceedings of IEEE Internation- al Symposium on Circuits and Systems (ISCAS). Se-attle, WA: [s. n. ], 2008:45-48.
  • 9Robey F C, Coutts S, Weikle D, etal. MIMO radar theory and experimental results[C]//Proc 38th Asi- lomar Conf Signals, Systems, Computers. Pacific Grove, CA:[s. n. ], 2004:300-304.
  • 10Moffet A T. Minimum-redundancy linear arrays[J]. IEEE Transactions on Antennas and Propagation, 1968,16(2) : 172-175.

二级参考文献47

  • 1何宝宇,吴季.二维综合孔径微波辐射计圆环结构天线阵及其稀疏方法[J].电子学报,2005,33(9):1607-1610. 被引量:10
  • 2雷文太,粟毅,黄春琳.表层穿透雷达递归反向投影成像算法[J].电子学报,2005,33(12):2115-2119. 被引量:10
  • 3陈客松,何子述,韩春林.非均匀线天线阵优化布阵研究[J].电子学报,2006,34(12):2263-2267. 被引量:23
  • 4张玉洪,保铮.最佳非均匀间隔稀布阵列的研究[J].电子学报,1989,17(4):81-87. 被引量:9
  • 5Thompson A R, Moran J M, Swenson G W. Interferometry and Synthesis in Radio Astronomy[ M]. 2nd ed. New York: John Wiley & Sons Inc, 2001.
  • 6Moffet A T. Minimum-redundancy linear arrays [ J ]. IEEE Trans Antennas Propagat, 1968, 16(2) : 172-175.
  • 7Ruf C S, Swift C T, Tanner A B, et al. Interferometric synthetic aperture microwave radiometry for the remote sensing of the earth [ J ]. IEEE Trans GeoSci Remote Sensing, 1988, 26(5) : 597-611.
  • 8Chow Y L. Comparison of some correlation array configurations for radio astronomy [ J ]. IEEE Trans Antennas Propagat, 1970, 18:567-569.
  • 9Kraft U R. Two-dimensional aperture synthesis radiometers in a low earth orbit mission and instrument analysis [C]. Proc IEEE IGARSS'96, Lincoln: IEEE Press, 1996. 866-868.
  • 10Pearson D, Pillai S U, Lee Y. An algorithm for near-optimal placement of sensor elements [ J ]. IEEE Trans Inform Theory, 1990, 36(6) : 1280-1284.

共引文献37

同被引文献127

  • 1StephenB,LievenV.凸优化[M].王书宁,许望,黄晓霖,译.北京:清华大学出版社,2013:149-153.
  • 2Brennan L E and Reed I S. Theory of adaptive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, 9(2): 237-252.
  • 3Ward J. Space-time adaptive processing for airborne radar[R] Technical Report 1015, MIT Lincoln Laboratory, 1994.
  • 4Guerci J R. Space Time Adaptive Processing for Radar[M]. Norwood, MA: Artech House, Inc., 2003: 3-55.
  • 5Klemm R. Principles of Space-Time Adaptive Processing[M]. London: The Institution of Electrical Engineers, 2002: 5-45.
  • 6Melvin W L. A STAP overview[J]. IEEE Transactions on Aerospace and Electronic Systems, 2004, 19(1): 19-35.
  • 7吴顺君,梅晓春.雷达信号处理和数据处理技术[M].北京:电子工业出版社,2007:228-256.
  • 8Li Jian and Stoica P. MIMO Radar Signal Processing[M]. Hoboken, N J: John Wiley Sons, Inc., 2009, Chapter 2.
  • 9Fisher E, Haimovieh A, and Blum R S. Spatial diversity in radar-models and detection performance[J]. IEEE Transactions on Signal Processing, 2006, 54(3): 823-838.
  • 10Haimovich A M, Blum R S, and Lenard J. MIMO radar with widely separated antennas[J]. IEEE Signal Process Magazine, 2008, 25(1): 116-129.

引证文献3

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部