矢量傳感器陣列MIMO雷達高精度二維DOA與極化聯(lián)合估計
doi: 10.11999/JEIT151469
基金項目:
國家自然科學基金(60702015),安徽省科技攻關項目(1310115188),電子工程學院院控科研基金(KY13A197, KY13A200, KY13A206)
Joint Estimation of Two Dimensional DOA with High Accuracy and Polarization for MIMO Radar Using Electromagnetic Vector Sensor Arrays
Funds:
The National Natural Science Foundation of China (60702015), Auhui Province Foundation for Science and Technology Research Project (1310115188), Scientific Research Foundation of Electronic Engineering Institute (KY13A197, KY13A200, KY13A206)
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摘要: 該文采用矢量傳感器配置下的十字型陣列MIMO雷達系統(tǒng),提出一種新的2維高精度DOA與極化參數(shù)聯(lián)合估計算法。首先根據(jù)MIMO雷達虛擬陣列導向矢量的特點,通過降維矩陣的設計及回波數(shù)據(jù)的降維變換,將高維回波數(shù)據(jù)轉換至低維信號空間;然后基于傳播算子獲得對應信號子空間的估計,利用收、發(fā)陣列陣元間長基線對應的旋轉不變性和極化矢量中電場矢量和磁場矢量的叉積進行2維高精度DOA估計和解模糊處理,同時利用與陣列結構無關的極化域旋轉不變性進行極化輔角和極化相位差的聯(lián)合估計。該矢量傳感器MIMO雷達陣列可同時獲取MIMO雷達的波形分集和矢量傳感器的極化分集,無需額外增加陣元和硬件開銷,能夠有效擴展陣列孔徑,提高參數(shù)估計性能;同時通過降維變換及傳播算子,在獲取信噪比增益的同時,能夠實現(xiàn)2維高精度DOA和2維極化矢量的聯(lián)合估計及參數(shù)的自動配對,有效降低數(shù)據(jù)處理維數(shù)和參數(shù)估計的運算復雜度;最后,仿真結果驗證了理論分析的正確性和算法的有效性。Abstract: In this paper, monostatic MIMO radar with cross array using electromagnetic vector antennas is utilized and a novel algorithm for fast Two Dimensional (2D) Direction Of Arrival (DOA) with high accuracy and polarization estimation is proposed. First, given the virtual steering vector of monostatic MIMO radar, a reduced-dimensional matrix is employed and the high dimensional received data is transformed into a lower dimensional signal space via the reduced-dimensional transformation. Then the Propagator Method (PM) is utilized to estimate the corresponding signal subspace by linear operation. Second, rotational invariance relationships with long baseline in the proposed scheme and polarization vector cross product between the normalized electric vector and the normalized magnetic vector can be used to obtain the 2D DOA estimation with high accuracy and non-ambiguity. The polarization rotational invariance relationship, which is irrespective of array geometry, is utilized to estimate the auxiliary polarization angle and polarization phase difference. The proposed system, extending array aperture without increasing sensors and hardware costs, can obtain the waveform diversity offered by MIMO radar and the polarization diversity offered by vector sensor together and achieve better estimation performance. Meanwhile, through the reduced-dimensional and linear operation, the proposed algorithm, obtaining signal to ratio gain and joint estimation for 2D DOA with high accuracy and 2D polarization parameters with automatic pairing, can reduce the dimension of received data and the computational complexity of parameters estimation effectively. Lastly, simulation results verify the correctness of theoretical analysis and the effectiveness of proposed algorithm.
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Key words:
- MIMO radar /
- Vector sensor array /
- High accurate DOA estimation /
- Polarization parameters
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