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基于發(fā)射波束域-三迭代的機載MIMO雷達STAP方法

王珽,  趙擁軍,  趙闖

王珽, 趙擁軍, 趙闖. 基于發(fā)射波束域-三迭代的機載MIMO雷達STAP方法[J]. 電子與信息學(xué)報, 2016, 38(5): 1034-1040. doi: 10.11999/JEIT150741
引用本文: 王珽, 趙擁軍, 趙闖. 基于發(fā)射波束域-三迭代的機載MIMO雷達STAP方法[J]. 電子與信息學(xué)報, 2016, 38(5): 1034-1040. doi: 10.11999/JEIT150741
WANG Ting, ZHAO Yongjun, ZHAO Chuang. Airborne MIMO Radar STAP Method Based on Transmit Beamspace-tri-iterative Algorithm[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1034-1040. doi: 10.11999/JEIT150741
Citation: WANG Ting, ZHAO Yongjun, ZHAO Chuang. Airborne MIMO Radar STAP Method Based on Transmit Beamspace-tri-iterative Algorithm[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1034-1040. doi: 10.11999/JEIT150741

基于發(fā)射波束域-三迭代的機載MIMO雷達STAP方法

doi: 10.11999/JEIT150741
基金項目: 

國家自然科學(xué)基金(41301481)

Airborne MIMO Radar STAP Method Based on Transmit Beamspace-tri-iterative Algorithm

Funds: 

The National Natural Science Foundation of China (41301481)

  • 摘要: 針對傳統(tǒng)機載多輸入多輸出(MIMO)雷達空時自適應(yīng)處理(STAP)中由于發(fā)射功率分散而造成的輸出信雜噪比(SCNR)下降的問題，該文提出一種基于發(fā)射波束域-三迭代的機載MIMO雷達STAP方法。首先建立了發(fā)射波束域MIMO雷達STAP的信號模型，并且給出了發(fā)射波束加權(quán)矩陣的優(yōu)化設(shè)計準(zhǔn)則，能夠使發(fā)射功率聚集于感興趣的目標(biāo)空域。然后對發(fā)射波束域MIMO雷達的雜噪比(CNR)進行分析，表明其與發(fā)射總功率的關(guān)系，理論推導(dǎo)顯示：相比于全向等功率發(fā)射的傳統(tǒng)MIMO雷達CNR，發(fā)射波束域MIMO雷達CNR減小。同時，為進一步降低發(fā)射波束域MIMO-STAP的訓(xùn)練樣本數(shù)需求與運算復(fù)雜度，采用三迭代算法進行權(quán)值降維求解。理論分析與仿真實驗結(jié)果表明：通過相應(yīng)的三迭代降維處理，發(fā)射波束域MIMO-STAP與傳統(tǒng)全向等功率發(fā)射MIMO-STAP相比能夠獲取更加優(yōu)越的輸出SCNR性能，且運算量進一步降低。因此，本文提出的發(fā)射波束域-三迭代方法具有重要的工程應(yīng)用價值。
    Abstract: The output Signal-to-Clutter-plus-Noise Ratio (SCNR) of traditional airborne MIMO radar STAP decreases because of the transmit power dispersion. To solve this problem, a MIMO-STAP method based on Transmit Beamspace (TB)-TRi-Iterative Algorithm (TRIA) is proposed. Firstly, the signal model of the TB-based MIMO radar STAP is established, and the optimizing criterion for designing the TB weight matrix is proposed to focus all transmit power within the desired spatial sector. Then, the Clutter-to-Noise Ratio (CNR) of the TB-based MIMO radar is analyzed to show its relationship with the total transmit power. The theoretical derivation is further provided to illustrate that the CNR of the TB-based MIMO radar is reduced compared with that of the traditional MIMO radar with uniform omni-directional transmission. Furthermore, in order to decrease the training sample requirement and the computational complexity of the TB-based MIMO-STAP, the TRIA is utilized to resolve the reduced-dimension weight vectors. The theoretical analysis and simulation results show that, through the corresponding tri-iterative reduced-dimension processing, the TB-based MIMO-STAP can achieve the improvement of the output SCNR, compared to the traditional MIMO-STAP with uniform omni-directional transmission. Moreover, the computational burden is further decreased. Therefore, the proposed TB-TRIA method has great value for engineering application.
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出版歷程
  • 收稿日期:  2015-06-18
  • 修回日期:  2016-01-22
  • 刊出日期:  2016-05-19

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