|Table of Contents|

Optimal Design of Adaptive Subcarrier Modulation OFDM Radar Waveform Based on Convex Optimization


Research Field:
Publishing date:


Optimal Design of Adaptive Subcarrier Modulation OFDM Radar Waveform Based on Convex Optimization
ZHUANG Shan-naZHANG Jin-dongHE Ya-pengZHU Xiao-hua
School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China
convex optimization adaptive subcarrier modulation orthogonal frequency division multiplexing radars optimal matching illumination signal-to-noise ratios peak-to-average power ratios
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.


[ 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.

[ 2] Garren D A, Osbo rnM K, Odom A C, et a.l Enhancedtarget de tection and identification v ia optim ized radartransm ission pu lse shape [ J]. IEEE Proceeding of Radar,Sonar and Nav iga tion, 2001, 148( 3): 130- 138.
[ 3] Zhang J D, Zhu X H, W ang H Q. Adaptive radarphase- coded w aveform design [ J ]. E lectron ics Le-tters, 2009, 45( 20) : 1052- 1053.
[ 4] Levanon N. M u lticarr ier radar signa-l pu lse tra ins andCW [ J]. IEEE Transac tion on Aerospace and E lectronic System s, 2002, 38( 2): 707- 720.
[ 5] Sen S, Neho ra iA. Target detection in c lutter using adaptiveOFDM radar[ J] . IEEE S ignal Processing Le-tters, 2009, 16( 7): 592- 595.
[ 6] Sen S, N ehorai A. Adaptive design of OFDM radarsignal w ith im proved w ideband am bigu ity function[ J].IEEE Transaction on S ignal Processing, 2010,58( 2): 928- 933.
[ 7] Li J, Gue rc i J R, Xu L Z. S ignal w aveform. s optim a lunder restriction design for active sensing[ A ]. Senso rA rray and M ultichannel S ignal Processing [ C ].W a ltham, MA, USA: IEEE S ignal Processing So ciety,2006: 382- 386.
[ 8] Luo Z Q, YuW. An introduction to convex optim izationfo r communications and s igna l process ing [ J ].IEEE Journa l on Se lected Areas in Communications,2006, 24( 8): 1426- 1438.
[ 9] Boyd S, Gran tM. Cvx users. guide [ EB /OL ]. h-ttp: / / cvx r. com / cvx /down load, 2009- 06- 04.
[ 10] Boyd S, V andenberghe L. Convex optim ization [M ].Cam br idge, Un ited K ingdom: Cambr idge Un iv ers ityPress, 2009.[ 11] 纠博, 刘宏伟, 何学辉, 等. 基于凸优化的宽带雷达波形优化方法[ J] . 电波科学学报, 2009, 24 ( 2 ):264- 269.


Last Update: 2012-11-02