多跳頻信號(hào)波達(dá)方向與極化狀態(tài)聯(lián)合估計(jì)算法

張東偉; 郭英; 齊子森; 侯文林; 張波; 李教

doi:10.11999/JEIT141315

多跳頻信號(hào)波達(dá)方向與極化狀態(tài)聯(lián)合估計(jì)算法

doi: 10.11999/JEIT141315

1.
(空軍工程大學(xué)信息與導(dǎo)航學(xué)院西安 710077) ②(通信網(wǎng)信息傳輸與分發(fā)技術(shù)重點(diǎn)實(shí)驗(yàn)室石家莊 050081)

基金項(xiàng)目:

國家自然科學(xué)基金(61172148)，通信網(wǎng)信息傳輸與分發(fā)技術(shù)重點(diǎn)實(shí)驗(yàn)室基金(ITD-U12003/K1260009)和航空科學(xué)基金(20112096016)資助課題

計(jì)量
- 文章訪問數(shù): 1442
- HTML全文瀏覽量: 143
- PDF下載量: 500
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2014-10-15
- 修回日期: 2015-01-22
- 刊出日期: 2015-07-19

Joint Estimation Algorithm of Direction of Arrival and Polarization for Multiple Frequency-hopping Signals

1.
(Institute of Information and Navigation, Air Force Engineering University, Xi&rsquo

摘要

摘要: 為了有效輔助跳頻(FH)網(wǎng)臺(tái)分選和信號(hào)識(shí)別、跟蹤，該文用正交偶極子對(duì)構(gòu)造極化敏感陣列，基于空間極化時(shí)頻分析，在欠定條件下實(shí)現(xiàn)了多跳頻信號(hào)波達(dá)方向(Direction Of Arrival, DOA)與極化狀態(tài)的高效聯(lián)合估計(jì)。首先建立跳頻信號(hào)的極化敏感陣列觀察模型，然后根據(jù)參考陣元時(shí)頻分析結(jié)果建立各跳信號(hào)的空間極化時(shí)頻分布矩陣，再利用該矩陣中蘊(yùn)含的信號(hào)極化-空域特征信息分別運(yùn)用線性、二次型空間極化時(shí)頻以及多項(xiàng)式求根共3種方法實(shí)現(xiàn)DOA與極化參數(shù)聯(lián)合估計(jì)，最后蒙特卡羅仿真結(jié)果驗(yàn)證了該算法的有效性。
- 信號(hào)處理 /
- 跳頻 /
- 極化 /
- 波達(dá)方向 /
- 聯(lián)合估計(jì) /
- 極化敏感陣列
Abstract: In this paper, with the purpose of sorting frequency-hopping networks, identifying and tracking signals, a joint estimation of Direction Of Arrival (DOA) and polarization for multiple frequency-hopping signals is carried out in underdetermined condition, which is based on the spatial polarization time-frequency analysis and implemented by constructing polarization sensitive array with orthogonal dipole elements. Firstly, the observation model for polarization sensitive array of frequency-hopping signals is built. Then the spatial polarimetric time-frequency distribution matrix for every hop signal is generated in the knowledge of reference sensor time-frequency analysis. From this matrix, the polarization and spatial characteristic information can be extracted, which used for the joint estimation of DOA and polarization in linear, quadratic spatial polarization time-frequency analysis and polynomial rooting methods respectively. Finally, the Monte-Carlo simulation results show the effectiveness of the proposed algorithm.
- Signal processing /
- Frequency-Hopping (FH) /
- Polarization /
- Direction Of Arrival (DOA) /
- Joint estimation /
- Polarization sensitive array

HTML全文

參考文獻(xiàn)(21)

Sha Zhi-chao, Huang Zhi-tao, Zhou Yi-yu, et al.. Frequency- hopping signals sorting based on underdetermined blind source separation[J]. IET Communications, 2013, 7(14): 1456-1464.

沙志超, 黃知濤, 周一宇, 等. 基于稀疏重構(gòu)的跳頻信號(hào)時(shí)頻分析方法[J]. 通信學(xué)報(bào), 2013, 34(5): 107-112.

Sha Zhi-chao, Huang Zhi-tao, Zhou Yi-yu, et al.. Time frequency analysis of freqency-hopping signals based on sparse recovery[J]. Journal on Communications, 2013, 34(5): 107-112.

Fu Kuo-ching and Chen Yung-fang. Blind iterative maximum likelihood-based frequency and transition time estimation for frequency hopping systems[J]. IET Communications, 2013, 7(9): 883-892.

王豐華, 沙志超, 劉章孟, 等. 基于貝葉斯稀疏學(xué)習(xí)的多跳頻信號(hào)頻率跟蹤方法[J]. 電子與信息學(xué)報(bào), 2013, 35(6): 1395-1399.

Wang Feng-hua, Sha Zhi-chao, Liu Zhang-meng, et al.. A frequency tracking method for multiple frequency-hopping signals based on sparse bayesian learning[J] Journal of Electronics Information Technology, 2013, 35(6): 1395-1399.

Yang Wen-ge, Li Meng, Wang Li-bin, et al.. Parameter estimation of frequency hopping signals based on time frequency analysis[C]. Proceedings of the 26th Conference of Spacecraft TTC Technology, Beijing, China, 2013: 131-140.

趙新明, 金艷, 姬紅兵. 穩(wěn)定分布噪聲下基于Merid濾波的跳頻信號(hào)參數(shù)估計(jì)[J]. 電子與信息學(xué)報(bào), 2014, 36(8): 1878-1883.

Zhao Xin-ming, Jin Yan, and Ji Hong-bing. Parameter estimation of frequency-hopping signals based on Merid filter in stable noise environment[J]. Journal of Electronics Information Technology, 2014, 36(8): 1878-1883.

Wong K T. Blind beamforming/geolocation for wideband- FFHs with unknown hop-sequences[J]. IEEE Transactions on Aerospace and Electronic Systems, 2001, 37(1): 65-76.

Liu X Q, Nicholas D S, and Swami A. Joint hop timing and frequency estimation for collision resolution in FH networks [J]. IEEE Transactions on Wireless Communications, 2005, 4(6): 3063-3074.

Lin C H and Fang W H. Joint angle and delay estimation in frequency hopping systems[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(2): 1042-1056.

Zhang Y M, Mu W F, and Amin M G. Subspace analysis of spatial time-frequency distribution matrices[J]. IEEE Transactions on Signal Processing, 2001, 49(4): 747-759.

陳利虎. 基于空時(shí)頻分析的多分量跳頻信號(hào)DOA估計(jì)[J]. 系統(tǒng)工程與電子技術(shù), 2011, 33(12): 2587-2592.

Chen Li-hu. Directions of arrival estimation for multicompo nent frequency-hopping signals based on spatial time frequency analysis[J]. Systems Engineering and Electronics, 2011, 33(12): 2587-2592.

陳利虎, 王永明, 張爾揚(yáng). 基于空時(shí)頻分析的多FH/DS信號(hào)DOA估計(jì)[J]. 信號(hào)處理, 2009, 25(8): 1309-1313.

Chen Li-hu, Wang Yong-ming, and Zhang Er-yang. Directions of arrival estimation for multicomponent frequency hopping/ direct sequence spread spectrum signals based on spatial time-frequency analysis[J]. Signal Processing, 2009, 25(8): 1309-1313.

Zhang Y M, Obeidat B A, and Amin M G. Spatial polarimetric time-frequency distribution for direction-of- arrival estimation[J]. IEEE Transactions on Signal Processing, 2006, 54(4): 1327-1340.

張樹銀, 郭英, 齊子森. 錐面共形陣列信源方位和極化參數(shù)的聯(lián)合估計(jì)算法[J]. 電子與信息學(xué)報(bào), 2011, 33(10): 2407-2412.

Zhang Shu-yin, Guo Ying, and Qi Zi-sen. Joint estimation of 2D DOA and polarization with conical conformal array antenna[J]. Journal of Electronics Information Technology, 2011, 33(10): 2407-2412.

Xia Tie-qi, Zheng Yi, Wan Qun, et al.. Decoupled estimation of 2-D angles of arrival using two parallel uniform linear arrays[J]. IEEE Transactions on Antennas and Propagation, 2007, 55(9): 2627-2632.

相關(guān)文章

施引文獻(xiàn)

資源附件(0)

訪問統(tǒng)計(jì)