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一種用于多目標(biāo)定位的MIMO雷達(dá)快速功率分配算法

馮涵哲,  嚴(yán)俊坤,  劉宏偉

馮涵哲, 嚴(yán)俊坤, 劉宏偉. 一種用于多目標(biāo)定位的MIMO雷達(dá)快速功率分配算法[J]. 電子與信息學(xué)報, 2016, 38(12): 3219-3223. doi: 10.11999/JEIT160981
引用本文: 馮涵哲, 嚴(yán)俊坤, 劉宏偉. 一種用于多目標(biāo)定位的MIMO雷達(dá)快速功率分配算法[J]. 電子與信息學(xué)報, 2016, 38(12): 3219-3223. doi: 10.11999/JEIT160981
FENG Hanzhe, YAN Junkun, LIU Hongwei. Fast Power Allocation Algorithm for Multiple Target Localization in MIMO Radar System[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3219-3223. doi: 10.11999/JEIT160981
Citation: FENG Hanzhe, YAN Junkun, LIU Hongwei. Fast Power Allocation Algorithm for Multiple Target Localization in MIMO Radar System[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3219-3223. doi: 10.11999/JEIT160981

一種用于多目標(biāo)定位的MIMO雷達(dá)快速功率分配算法

doi: 10.11999/JEIT160981
基金項(xiàng)目: 

國家自然科學(xué)基金(61601340)，國家杰出青年科學(xué)基金(61525105)，中國博士后基金(2015M580817, 2016T90890)

Fast Power Allocation Algorithm for Multiple Target Localization in MIMO Radar System

Funds: 

The National Natural Science Foundation of China (61601340), The National Science Fund for Distinguished Young Scholars (61525105), The Postdoctoral Science Foundation of China (2015M580817, 2016T90890)

  • 摘要: 為了滿足實(shí)際需求，該文提出一種用于多目標(biāo)定位的功率分配算法，實(shí)現(xiàn)MIMO雷達(dá)有限功率的快速優(yōu)化分配。該文首先給出了多目標(biāo)定位誤差的克拉美羅下界，并將其作為代價函數(shù)進(jìn)行功率分配。而后，設(shè)計了一種可應(yīng)用于多目標(biāo)定位功率分配的交替全局優(yōu)化算法，通過搜索Pareto解集來實(shí)現(xiàn)功率的快速分配。最后，仿真結(jié)果表明，所提的算法能快速實(shí)現(xiàn)MIMO雷達(dá)有限功率的優(yōu)化分配，明顯提升多目標(biāo)定位精度。
    Abstract: To meet the need of the real application, this paper proposes a power allocation algorithm for multiple target localization, which tries to get the quick optimal allocation of the limited power resources in the MIMO radar. Firstly, Cramr-Rao Lower Bound (CRLB) of the Mean Square Error (MSE) of the multi-target localization is given, and CRLB is used as a cost function to allocate the power resource. Then, an Alternating Global Optimal Algorithm (AGOA) is designed which can be used in power allocation of multi-target localization, the related Pareto sets to achieve the fast allocation of the power resources. Finally, the simulation results show that the AGOA can quickly achieve the optimal allocation of the limited power allocation in MIMO radar, and can significantly enhance the precision of the multiple target localization.
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出版歷程
  • 收稿日期:  2016-09-29
  • 修回日期:  2016-11-23
  • 刊出日期:  2016-12-19

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