期刊文献+

基于凸优化的自适应子载波调制OFDM雷达波形优化设计

Optimal Design of Adaptive Subcarrier Modulation OFDM Radar Waveform Based on Convex Optimization
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摘要 为解决正交频分复用(OFDM)雷达的发射-接收联合优化问题,提出了基于凸优化的自适应子载波调制的波形优化方法。针对高距离分辨目标检测,给出基于最优匹配照射的子载波调制OFDM雷达系统模型。建立在OFDM信号峰均比(PAPR)约束下最大化匹配滤波器输出信噪比(SNR)的目标函数,将其转化为二阶规划标准形式并采用凸优化算法进行求解,优化发射波形。仿真结果表明基于凸优化方法的自适应子载波调制OFDM雷达信号波形的SNR为30.1 dB,PAPR为0.8 dB。SNR受到3.7 dB的损失,但大大降低了PAPR,实现了信噪比和峰均比之间的良好折中。 To solve the problem of the transmit-receiver joint optimization for the orthogonal frequency division multiplexing(OFDM)radar,an adaptive subcarrier modulation waveform optimal method based on convex optimization is proposed.Aiming at the detection of a high range resolution target,an adaptive subcarrier modulation OFDM radar system model based on optimal matching illumination is given.The target function for maximizing the signal-to-noise ratio(SNR)of the matched filter under the constraint of OFDM signal peak-to-average power ratio(PAPR)is built.It is converted into the standard form of a second-order program and solved by a convex optimization method,and the transmit waveform is optimized.The simulation result shows that the SNR of the adaptive subcarrier modulation OFDM radar waveform based on convex optimization is 30.1 dB and the PAPR is 0.8 dB.The loss of SNR is 3.7 dB,but the PAPR is decreased greatly.The good compromise between SNR and PAPR is realized.
出处 《南京理工大学学报》 EI CAS CSCD 北大核心 2010年第6期799-802,813,共5页 Journal of Nanjing University of Science and Technology
关键词 凸优化 自适应子载波调制 正交频分复用雷达 最优匹配照射 信噪比 峰均比 convex optimization adaptive subcarrier modulation orthogonal frequency division multiplexing radars optimal matching illumination signal-to-noise ratios peak-to-average power ratios
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参考文献11

  • 1马岸英,任光亮,田晓东.多载波无线电探测器信号波形设计[J].西北大学学报(自然科学版),2005,35(3):283-286. 被引量:2
  • 2Garren D A,Osbom M K,Odom A C,et al.Enhanced target detection and identifcation via optimized radar transmission pulse shape[J].IEEE Proceeding of Radar,Sonar and Navigation,2001,148(3):130-138.
  • 3Zhang J D,Zhu X H,Wang H Q.Adaptive radar phase-coded waveform design[J].Electronics Letters,2009,45(20):1052-1053.
  • 4Levanon N.Muhicarrier radar signal-pulse trains and CW[J].IEEE Transaction on Aerospace and Electronic Systems,2002,38(2):707-720.
  • 5Sen S,Nehorai A.Target detection in clutter using adaptive OFDM radar[J].IEEE Signal Processing Letters,2009,16(7):592-595.
  • 6Sen S,Nehorai A.Adaptive design of OFDM radar signal with improved wideband ambiguity function[J].IEEE Transaction on Signal Processing,2010,58(2):928-933.
  • 7Li J,Guerci J R,xu L Z.Signal waveform's optimal under restriction design for active sensing[A].Sensor Array and Multichannel Signal Processing[C].Waltham,MA,USA:IEEE Signal Processing Society,2006:382-386.
  • 8Luo Z Q,Yu W.An introduction to convex optimization for communications and signal processing[J].IEEE Journal on Selected Areas in Communications,2006,24(8):1426-1438.
  • 9Boyd S,Grant M.Cvx users'guide[EB/OL].http://cvxr.com/cvx/download,2009-06-04.
  • 10Boyd S,Vandenberghe L.Convex optimization[M].Cambridge,United Kingdom:Cambridge University Press,2009.

二级参考文献19

  • 1张会宁,任光亮,张辉.正交频分复用探测体制研究[J].探测与控制学报,2004,26(3):21-24. 被引量:4
  • 2HAYKIN S. Cognitive radar: A way of the future [J]. IEEE Signal Process. Mag. , 2006, 23(1): 30- 40.
  • 3PILLAI S U, OH H S, YOULA D C, et al. Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise [J]. IEEE Trans. on Information Theory, 2000, 46(2): 577- 584.
  • 4GARREN D A, OSBORN M K, ODOM A C, et al. Enhanced target detection and identification via opti mised radar transmission pulse shape [J].IEE Proc. Radar, Sonar Navig, 2001, 148(3): 130-138.
  • 5GUERCI J R. Adaptive transmission radar: the next " wve" [C]// IEEE. Proceedings of the IEEE 2000. Dayton: IEEE, 2000: 779-786,
  • 6GUERCI j R. Theory and application of optimum transmit-receive radar [C] // IEEE. Proceedings of IEEE International Radar Conference. Alexandria: IEEE, 2000: 705-710.
  • 7GUERCI J R, et al. Optimum matched illumination- reception radar for target classification. USA, 5381154[P]. 1995.
  • 8PILLAI S U. Joint optimal tx-rx design for multiple target identification problem [C] // IEEE. Sensor Array and Multichannel Signal Processing Workshop Proceedings. IEEE, 2002.. 553-556.
  • 9GARREN D A. Optimal Transmission Pulse Shape for Detection and Identification with Uncertain Target Aspect [C]// IEEE. Proceedings of the 2001 IEEE. Atlanta.. IEEE, 2001: 123-128.
  • 10STURM J F. Using SeDuMi 1. 02, A MATLAB Toolbox for Optimization Over Symmetric Cones [J]. Optimiz. Methods Softw, 1999,11-12:625-653.

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