時(shí)空非均勻采樣下雙基地MIMO雷達(dá)收發(fā)角及多普勒頻率聯(lián)合估計(jì)方法
doi: 10.11999/JEIT141523
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1.
(北方電子設(shè)備研究所 北京 100191) ②(內(nèi)江師范學(xué)院工程技術(shù)學(xué)院 內(nèi)江 641110)
基金項(xiàng)目:
四川省教育廳項(xiàng)目(13ZA0005)
Joint DOD-DOA and Doppler Frequency Estimation for Bistatic MIMO Radar under Condition of Temporal-spatial Nonuniform Sampling
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1.
(Institute of North Electronic Equipment, Beijing 100191, China)
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2.
(Engineering and Technology College, Neijiang Normal University, Neijiang 641110, China)
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摘要: 該文針對發(fā)射陣列、接收陣列以及多級延遲器均為非均勻配置的雙基地MIMO雷達(dá)，提出基于時(shí)域和空域二次自由度擴(kuò)展的發(fā)射角、接收角以及多普勒頻率估計(jì)的ESPRIT (Estimating Signal Via Rotational Invariance Techniques)新方法。該方法利用雙基地MIMO雷達(dá)特殊的方向矢量特點(diǎn)(矩陣的Khatri-Rao積形式)，對接收信號進(jìn)行兩次行置換以及去冗余處理，實(shí)現(xiàn)了時(shí)域和空域孔徑自由度的二次擴(kuò)展。然后對新數(shù)據(jù)進(jìn)行時(shí)空滑窗處理，利用ESPRIT算法分別估計(jì)出目標(biāo)的收發(fā)角以及多普勒頻率。理論和仿真結(jié)果表明：在相同陣元和延遲級數(shù)情況下，所提算法的估計(jì)性能優(yōu)于四線性分解和多維ESPRIT算法，且能估計(jì)出更多的目標(biāo)，此外，通過最小冗余配置，極大地降低了陣列和延遲器的配置需求，更利于實(shí)際工程應(yīng)用。
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關(guān)鍵詞:
- 雙基地MIMO雷達(dá) /
- 時(shí)空非均勻結(jié)構(gòu) /
- 最小冗余陣列 /
- 二次自由度擴(kuò)展 /
- 聯(lián)合估計(jì)
Abstract: A new ESPRIT (Estimating Signal Via Rotational Invariance Techniques) algorithm is proposed to estimate the joint DOD (Direction Of Departure), DOA (Direction Of Arrival) and Doppler frequency based on the second extension of degree of freedom in the time and space domain under the conditions of non-uniform configurations of transmitter-receiver arrays and multiple delays for bistatic MIMO radar. Firstly, based on the special characteristic of direction vector in MIMO radar, the second extension of degree of freedom both in the time and space domains is attained by performing the twice row permutations on the received data and deleting the redundant items operations. Then, the ESPRIT algorithm is utilized to estimate the DOD, DOA, and Doppler frequency after performing the temporal-spatial smoothing window processing to the new data. The simulation shows that when the same number of real elements is used in time and space domain, the parameter estimation performance of the proposed algorithm is better than those of the quadrilinear decomposition and multi-dimension ESPRIT algorithms. Moreover, by using of the minimum redundancy configuration, the redundant information in the arrays decreases and hence the requirements of the array elements and the delay device are reduced, so it is more convenient to the practical application. -
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