稀疏拉伸式L型極化敏感陣列的二維波達方向和極化參數(shù)聯(lián)合估計
doi: 10.11999/JEIT190208
-
西安電子科技大學雷達信號處理國家重點實驗室 西安 710071
Joint 2D-DOA and Polarization Parameter Estimation with Sparsely Stretched L-shaped Polarization Sensitive Array
-
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
-
摘要:
為降低現(xiàn)有的共心式矢量傳感器陣列天線間存在的嚴重互耦影響，進一步提高參數(shù)估計精度，該文提出一種稀疏拉伸式L型極化敏感陣列(SSL-PSA)，并針對該陣列提出一種2維波達方向(DOA)和極化參數(shù)聯(lián)合估計算法。首先建立稀疏拉伸式極化敏感陣列的信號模型，然后將陣列劃分為6個子陣，采用子空間旋轉(zhuǎn)不變算法(ESPRIT)算法得到多個旋轉(zhuǎn)不變因子(RIFs)，再根據(jù)旋轉(zhuǎn)不變因子間的關(guān)系，通過數(shù)學運算，得到一組方向余弦有模糊精估計值和4組無模糊粗估計值；然后重構(gòu)出對應(yīng)的4組導向矢量，根據(jù)導向矢量和噪聲子空間的正交性，確定出正確的一組無模糊粗估計值；最后通過現(xiàn)有的解模糊方法得到高精度且無模糊的DOA和極化參數(shù)估計值。該文所提陣列不存在共心結(jié)構(gòu)，相對于現(xiàn)有的含有共心式矢量傳感器結(jié)構(gòu)的陣列，大大降低了互耦影響，且可在不增加天線數(shù)目的前提下，有效擴展陣列的2維孔徑，大大提高DOA估計精度。仿真結(jié)果證明該文所提方法的有效性。
-
關(guān)鍵詞:
- 稀疏拉伸式L型極化敏感陣列 /
- 波達方向 /
- 極化 /
- 陣列互耦
Abstract:In order to reduce the serious mutual coupling effect across the elements of the existing collocated vector sensor array and further improve the parameter estimation accuracy, a Sparsely Stretched L-shaped Polarization Sensitive Array (SSL-PSA) is proposed, and a novel method for estimating the azimuth-elevation angles as well as polarization parameters is presented accordingly. Firstly, the signal model of SSL-PSA is established. Then, the SSL-PSA is divided into 6 subarrays, thus the ESPRIT algorithm can be utilized to estimate the Rotational Invariant Factors (RIFs). On this basis, a set of fine but ambiguous estimates and four sets of unambiguous coarse estimates of direction cosine are obtained by a series of mathematical operations. Then, four corresponding steering vectors can be reconstructed and the correct coarse direction-cosine estimation can be determined according to the orthogonality of the steering vector and the noise subspace. Finally, the estimates of Direction-Of-Arrival (DOA) and polarization parameter can be achieved by the existing disambiguate method. Compared to the existing polarization sensitive array consists of collocated vector sensor, the proposed one has no collocated configuration, which can reduce the mutual coupling effect. Additionally, the proposed method can also extend the spatial aperture and refine the direction-finding accuracy without adding any redundant antennas. Simulations are carried out to verify the effectiveness of the proposed method.
-
徐友根, 劉志文, 龔曉峰. 極化敏感陣列信號處理[M]. 北京: 北京理工大學出版社, 2013: 1–21.XU Yougen, LIU Zhiwen, and GONG Xiaofeng. Signal Processing Based on Polarization Sensitive Array[M]. Beijing: Beijing Institute of Technology Press, 2013: 1–21. GU Chen, HE Jin, LI Hongtao, et al. Target localization using MIMO electromagnetic vector array systems[J]. Signal Processing, 2013, 93(7): 2103–2107. doi: 10.1016/j.sigpro.2013.02.005 邵華, 蘇衛(wèi)民, 顧紅, 等. 基于稀疏互質(zhì)電磁矢量陣列的MUSIC算法[J]. 電子與信息學報, 2012, 34(9): 2033–2038. doi: 10.3724/SP.J.1146.2012.00021SHAO Hua, SU Weimin, GU Hong, et al. MUSIC algorithm based on sparse coprime electromagnetic vector arrays[J]. Journal of Electronics &Information Technology, 2012, 34(9): 2033–2038. doi: 10.3724/SP.J.1146.2012.00021 LUO Feng and XIN Yuan. Enhanced “vector-cross-product” direction-finding using a constrained sparse triangular-array[J]. EURASIP Journal on Advances in Signal Processing, 2012, 2012(1): 115–126. doi: 10.1186/1687-6180-2012-115 YUAN Xin, WONG K T, and AGRAWAL K. Polarization estimation with a dipole-dipole pair, a dipole-loop pair, or a loop-loop pair of various orientations[J]. IEEE Transactions on Antennas and Propagation, 2012, 60(5): 2442–2452. doi: 10.1109/TAP.2012.2189740 YUAN Xin, WONG K T, XU Zixin, et al. Various compositions to form a triad of collocated dipoles/loops, for direction finding and polarization estimation[J]. IEEE Sensors Journal, 2012, 12(6): 1763–1771. doi: 10.1109/JSEN.2011.2179532 GONG X F, LIU Z W, and XU Y G. Regularised parallel factor analysis for the estimation of direction-of-arrival and polarisation with a single electromagnetic vector-sensor[J]. IET Signal Processing, 2011, 5(4): 390–396. doi: 10.1049/iet-spr.2009.0221 CHINTAGUNTA S and PONNUSAMY P. 2D-DOD and 2D-DOA estimation using the electromagnetic vector sensors[J]. Signal Processing, 2018, 147: 163–172. doi: 10.1016/j.sigpro.2018.01.025 CHINTAGUNTA S and PONNUSAMY P. Integrated polarisation and diversity smoothing algorithm for DOD and DOA estimation of coherent targets[J]. IET Signal Processing, 2018, 12(4): 447–453. doi: 10.1049/iet-spr.2017.0276 WONG K T and YUAN Xin. “Vector cross-product direction-finding” with an electromagnetic vector-sensor of six orthogonally oriented but spatially noncollocating dipoles/loops[J]. IEEE Transactions on Signal Processing, 2011, 59(1): 160–171. doi: 10.1109/TSP.2010.2084085 鄭桂妹, 陳伯孝, 楊明磊. 新型拉伸電磁矢量傳感器的兩維高精度波達方向估計[J]. 系統(tǒng)工程與電子技術(shù), 2014, 36(7): 1282–1290. doi: 10.3969/j.issn.1001-506X.2014.07.10ZHENG Guimei, CHEN Baixiao, and YANG Minglei. High accuracy 2D DOA estimation with a novel spatially spread electromagnetic vector-sensor[J]. Systems Engineering and Electronics, 2014, 36(7): 1282–1290. doi: 10.3969/j.issn.1001-506X.2014.07.10 YUAN Xin. Spatially spread dipole/loop quads/quints: For direction finding and polarization estimation[J]. IEEE Antennas and Wireless Propagation Letters, 2013, 12: 1081–1084. doi: 10.1109/LAWP.2013.2280584 GONG Xiaofeng, JIANG Jiacheng, LI Hui, et al. Spatially spread dipole/loop quint for vector-cross-product-based direction finding and polarisation estimation[J]. IET Signal Processing, 2018, 12(5): 636–642. doi: 10.1049/iet-spr.2017.0232 ZHENG Guimei. Two-Dimensional DOA estimation for polarization sensitive array consisted of spatially spread crossed-dipole[J]. IEEE Sensors Journal, 2018, 18(12): 5014–5023. doi: 10.1109/jsen.2018.2820168 司偉建, 周炯賽, 曲志昱. 稀疏極化敏感陣列的波達方向和極化參數(shù)聯(lián)合估計[J]. 電子與信息學報, 2016, 38(5): 1129–1134. doi: 10.11999/JEIT150840SI Weijian, ZHOU Jiongsai, and QU Zhiyu. Joint DOA and polarization estimation with sparsely distributed polarization sensitive array[J]. Journal of Electronics &Information Technology, 2016, 38(5): 1129–1134. doi: 10.11999/JEIT150840 -
下載:
計量
- 文章訪問數(shù): 2587
- HTML全文瀏覽量: 879
- PDF下載量: 85
- 被引次數(shù): 0
下載:
