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基于ESPRIT算法的L型陣列MIMO雷達(dá)降維DOA估計(jì)

梁浩*,  崔琛,  代林,  余劍

梁浩*, 崔琛, 代林, 余劍. 基于ESPRIT算法的L型陣列MIMO雷達(dá)降維DOA估計(jì)[J]. 電子與信息學(xué)報(bào), 2015, 37(8): 1828-1835. doi: 10.11999/JEIT141295
引用本文: 梁浩*, 崔琛, 代林, 余劍. 基于ESPRIT算法的L型陣列MIMO雷達(dá)降維DOA估計(jì)[J]. 電子與信息學(xué)報(bào), 2015, 37(8): 1828-1835. doi: 10.11999/JEIT141295
Liang Hao, Cui Chen, Dai Lin, Yu Jian. Reduced-dimensional DOA Estimation Based on ESPRIT Algorithm in MIMO Radar with L-shaped Array[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1828-1835. doi: 10.11999/JEIT141295
Citation: Liang Hao, Cui Chen, Dai Lin, Yu Jian. Reduced-dimensional DOA Estimation Based on ESPRIT Algorithm in MIMO Radar with L-shaped Array[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1828-1835. doi: 10.11999/JEIT141295

基于ESPRIT算法的L型陣列MIMO雷達(dá)降維DOA估計(jì)

doi: 10.11999/JEIT141295
基金項(xiàng)目: 

國家自然科學(xué)基金(60702015)和電子工程學(xué)院院控科研基金(KY13A206)資助課題

Reduced-dimensional DOA Estimation Based on ESPRIT Algorithm in MIMO Radar with L-shaped Array

  • 摘要: 該文針對(duì)L型陣列MIMO雷達(dá)的2維角度估計(jì)問題，基于ESPRIT算法提出兩種降維DOA估計(jì)方法。首先通過降維矩陣的設(shè)計(jì)及回波數(shù)據(jù)的降維變換，將高維回波數(shù)據(jù)轉(zhuǎn)換至低維信號(hào)空間；然后分別基于特征分解和傳播算子獲得信號(hào)子空間的估計(jì)，最后利用ESPRIT算法實(shí)現(xiàn)2維空間角參量的聯(lián)合估計(jì)及參數(shù)的自動(dòng)配對(duì)。算法不犧牲陣列孔徑，最大程度地降低了回波數(shù)據(jù)的維數(shù)，具有更低的運(yùn)算復(fù)雜度。仿真結(jié)果驗(yàn)證了該文理論分析的正確性和算法的有效性。
    Abstract: In order to solve the issue of two dimensional angles estimation for MIMO radar with L-shaped array, two novel reduced-dimensional Direction Of Arrival (DOA) estimation methods using ESPRIT algorithm are proposed. Firstly, through the reduced-dimensional matrix design and reduced-dimensional transformation, the high dimensional received data can be transformed into a lower dimensional signal space. Then, the signal space can be achieved via the eigen-value decomposition and propagator operator method respectively, and two dimensional spatial angle parameters can be joint estimated using ESPRIT algorithm with automatic pairing. The proposed two methods remove data redundancy of high dimensional received data at the greatest degree without costing the aperture of array and have lower computation complexity. Simulation results verify the correctness of theoretical analysis and the effectiveness of proposed algorithm.
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出版歷程
  • 收稿日期:  2014-10-09
  • 修回日期:  2015-05-07
  • 刊出日期:  2015-08-19

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