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一種新型的低旁瓣MIMO雷達(dá)發(fā)射波形設(shè)計(jì)方法

張博,  戴奉周,  馮大政

張博, 戴奉周, 馮大政. 一種新型的低旁瓣MIMO雷達(dá)發(fā)射波形設(shè)計(jì)方法[J]. 電子與信息學(xué)報(bào), 2018, 40(8): 1809-1815. doi: 10.11999/JEIT171069
引用本文: 張博, 戴奉周, 馮大政. 一種新型的低旁瓣MIMO雷達(dá)發(fā)射波形設(shè)計(jì)方法[J]. 電子與信息學(xué)報(bào), 2018, 40(8): 1809-1815. doi: 10.11999/JEIT171069
ZHANG Bo, DAI Fengzhou, FENG Dazheng. A New Method for the Design of Low Sidelobe Transmit Waveform of MIMO Radar[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1809-1815. doi: 10.11999/JEIT171069
Citation: ZHANG Bo, DAI Fengzhou, FENG Dazheng. A New Method for the Design of Low Sidelobe Transmit Waveform of MIMO Radar[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1809-1815. doi: 10.11999/JEIT171069

一種新型的低旁瓣MIMO雷達(dá)發(fā)射波形設(shè)計(jì)方法

doi: 10.11999/JEIT171069
基金項(xiàng)目: 

國家自然科學(xué)基金(61671359)，中央高?；究蒲袠I(yè)務(wù)費(fèi)(JB180210)

A New Method for the Design of Low Sidelobe Transmit Waveform of MIMO Radar

Funds: 

The National Natural Science Foundation of China (61671359), The Fundamental Research Funds for the Central Universities of China (JB180210)

  • 摘要: 該文通過對經(jīng)典低旁瓣MIMO雷達(dá)發(fā)射波形設(shè)計(jì)方法的改進(jìn)，提出一種新型的低旁瓣MIMO雷達(dá)發(fā)射波形設(shè)計(jì)方法。該方法首先引入發(fā)射波形主瓣下界、主瓣上界兩個(gè)參數(shù)，并設(shè)定主瓣下界的值；其次分別以最小化峰值旁瓣、最小化積分旁瓣為目標(biāo)函數(shù)，以發(fā)射信號協(xié)方差矩陣半正定、各陣元發(fā)射信號恒功率為約束條件，在此基礎(chǔ)上，在約束條件中加入對主瓣波動的限制，建立半正定規(guī)劃優(yōu)化問題，并且可通過設(shè)定不同的主瓣上界的值來控制主瓣波動、抑制旁瓣；最后利用一次凸優(yōu)化算法得到全局最優(yōu)解。仿真結(jié)果表明，該方法在只需求解一次凸優(yōu)化問題的前提下，所設(shè)計(jì)波形旁瓣降低且可控。
    Abstract: A novel low sidelobe method is proposed through the improvement of the classical method of MIMO radar transmit waveform design. Firstly, two parameters, involving the lower boundary and the upper boundary of the mainlobe of the transmitted waveform, are introduced. While the value of the lower boundary is given. Secondly, a semidefinite programing optimization problem is established, whose objective function is minimization of peak-sidelobe or integrated-sideloble. The transmit waveform covariance is semi-positive and the signal power of each array element is fixed. Further, the restriction on the mainlobe fluctuation is added to the constraint of the optimization problem. Whats more, if the upper boundary is changed, the mainlobe fluctuation and sidelobe will be changed simultaneously. Finally, only once convex optimization algorithm is used to obtain the global optimal solution. The simulation results show that the proposed method has the advantages that the sidelobe is lower and can be contolled
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出版歷程
  • 收稿日期:  2017-11-16
  • 修回日期:  2018-04-16
  • 刊出日期:  2018-08-19

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