基于ESPRIT算法的L型陣列MIMO雷達(dá)降維DOA估計(jì)
發(fā)布時(shí)間:2018-07-18 15:25
【摘要】:該文針對(duì)L型陣列MIMO雷達(dá)的2維角度估計(jì)問(wèn)題,基于ESPRIT算法提出兩種降維DOA估計(jì)方法。首先通過(guò)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 this paper, two reduced dimension DOA estimation methods based on Esprit algorithm are proposed to solve the two-dimensional angle estimation problem of L-array MIMO radar. Firstly, the high-dimensional echo data is converted to the low-dimensional signal space by the design of the dimensionality reduction matrix and the reduced dimension transformation of the echo data, and then the estimation of the signal subspace is obtained based on the eigendecomposition and propagation operator, respectively. Finally, Esprit algorithm is used to realize the joint estimation of two dimensional spatial angle parameters and the automatic matching of parameters. The algorithm reduces the dimension of echo data without sacrificing array aperture and has lower computational complexity. The simulation results verify the correctness of the theoretical analysis and the validity of the algorithm.
【作者單位】: 合肥電子工程學(xué)院401室;
【基金】:國(guó)家自然科學(xué)基金(60702015) 電子工程學(xué)院院控科研基金(KY13A206)資助課題
【分類(lèi)號(hào)】:TN957.51
[Abstract]:In this paper, two reduced dimension DOA estimation methods based on Esprit algorithm are proposed to solve the two-dimensional angle estimation problem of L-array MIMO radar. Firstly, the high-dimensional echo data is converted to the low-dimensional signal space by the design of the dimensionality reduction matrix and the reduced dimension transformation of the echo data, and then the estimation of the signal subspace is obtained based on the eigendecomposition and propagation operator, respectively. Finally, Esprit algorithm is used to realize the joint estimation of two dimensional spatial angle parameters and the automatic matching of parameters. The algorithm reduces the dimension of echo data without sacrificing array aperture and has lower computational complexity. The simulation results verify the correctness of the theoretical analysis and the validity of the algorithm.
【作者單位】: 合肥電子工程學(xué)院401室;
【基金】:國(guó)家自然科學(xué)基金(60702015) 電子工程學(xué)院院控科研基金(KY13A206)資助課題
【分類(lèi)號(hào)】:TN957.51
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