稀疏極化敏感陣列的波達(dá)方向和極化參數(shù)聯(lián)合估計
doi: 10.11999/JEIT150840
基金項目:
航空科學(xué)基金(201401P6001),中央高?;究蒲袠I(yè)務(wù)費(fèi)重點(diǎn)資金(HEUCF150804)
Joint DOA and Polarization Estimation with Sparsely Distributed Polarization Sensitive Array
Funds:
Aviation Science Foundation of China (201401P6001), Fundamental Research Funds for the Central Universities (HEUCF150804)
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摘要: 該文采用稀疏分布極化敏感陣列(SD-PSA),研究了多目標(biāo)波達(dá)方向(DOA)和極化參數(shù)的估計問題。首先建立稀疏極化敏感陣列信號模型;然后利用陣列的空間旋轉(zhuǎn)不變性運(yùn)用ESPRIT算法得出信號的高精度周期性模糊多值DOA估計;同時利用子陣列導(dǎo)向矢量之間的關(guān)系得出信號的極化信息和DOA的無模糊粗估計;最后利用DOA粗估計值解模糊,得到信號的高精度無模糊DOA估計。該文所提陣列的陣元間距大于半個波長距離,擴(kuò)展了陣列2維物理孔徑,一定程度上降低了陣元間的互耦影響,相應(yīng)的信號DOA估計精度大大提高。仿真實(shí)驗(yàn)結(jié)果驗(yàn)證了該算法對信號DOA和極化參數(shù)估計的有效性。
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關(guān)鍵詞:
- 稀疏分布極化敏感陣列 /
- DOA估計 /
- 極化參數(shù)估計 /
- 旋轉(zhuǎn)不變子空間算法 /
- 孔徑擴(kuò)展
Abstract: This paper studies the multiple targets Direction Of Arrival (DOA) and polarization parameter estimation problem based on the Sparsely Distributed Polarization Sensitive Array (SD-PSA). First of all, the signal model of SD-PSA is set up. Then, by utilizing the space rotational invariance of the proposed array the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm is adopted to calculate the signals periodic ambiguous but high accuracy DOA estimation. Meanwhile, polarization information and the coarse DOA estimation are derived using the relationship between the sub arrays steering vector of the signals. Finally, using the coarse DOA estimation data, the fine and unambiguous estimates of DOA are obtained. In this paper, the adjacent array elements spacing of the proposed array is beyond half wavelength of the signal, thus the array extends the two-dimensional physical aperture and reduces the mutual coupling effects to a degree. Accordingly the DOA estimation precision is greatly increased. The simulation results of the algorithm verify the effectiveness of the DOA and polarization estimation. -
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