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
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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)
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
Joint Estimation Algorithm of Direction of Arrival and Polarization for Multiple Frequency-hopping Signals
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1.
(Institute of Information and Navigation, Air Force Engineering University, Xi&rsquo
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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。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.
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