基于凸優(yōu)化算法的水聲傳感器陣列綜合
發(fā)布時(shí)間:2018-09-16 22:01
【摘要】:稀疏基陣成像技術(shù)已在水下探測(cè)領(lǐng)域廣為研究。針對(duì)稀疏基陣的分布特性帶來(lái)的波束旁瓣電平升高、成像對(duì)比度降低等問(wèn)題,提出一種基于加權(quán)范數(shù)最小化的陣列綜合方法用于水下超聲傳感器陣列,設(shè)定目標(biāo)函數(shù)及約束條件,進(jìn)行多次的迭代,同時(shí)優(yōu)化陣元位置與陣元激勵(lì),最后將20×20的面陣綜合優(yōu)化成51個(gè)陣元的稀疏基陣,旁瓣電平在-15 dB以下,并將凸優(yōu)化陣列綜合得到的稀疏基陣的波束圖與切比雪夫陣列綜合得到的波束圖性能進(jìn)行比較,且進(jìn)行成像仿真,結(jié)果表明,采用凸優(yōu)化獲得的基陣在保證成像質(zhì)量的同時(shí),可以大幅減少發(fā)射陣元的數(shù)目,降低系統(tǒng)復(fù)雜性,并獲得預(yù)期的旁瓣電平。
[Abstract]:Sparse array imaging technology has been widely studied in the field of underwater detection. Aiming at the problems of high sidelobe level and low imaging contrast caused by the distributed characteristics of sparse array, an array synthesis method based on weighted norm minimization is proposed for underwater ultrasonic sensor array. The objective function and constraint conditions are set up, several iterations are carried out, and the position of the array element and the element excitation are optimized simultaneously. Finally, the area array of 20 脳 20 is synthesized into a sparse array of 51 elements, and the sidelobe level is below -15 dB. The performance of beam map of sparse array synthesized by convex optimization array is compared with that of beam map synthesized by Chebyshev array, and the imaging simulation is carried out. The results show that the array obtained by convex optimization not only guarantees the quality of imaging, but also ensures the image quality. It can greatly reduce the number of emitter elements, reduce the complexity of the system, and obtain the expected sidelobe level.
【作者單位】: 南京信息工程大學(xué)江蘇省大氣環(huán)境與裝備技術(shù)協(xié)同創(chuàng)新中心;南京信息工程大學(xué)江蘇省氣象傳感網(wǎng)技術(shù)工程中心;南京信息工程大學(xué)江蘇省氣象探測(cè)與信息處理重點(diǎn)實(shí)驗(yàn)室;南京郵電大學(xué)電子科技與工程學(xué)院;
【基金】:江蘇省重點(diǎn)研發(fā)計(jì)劃社會(huì)發(fā)展項(xiàng)目(BE2015692) 國(guó)家自然科學(xué)基金(41075115) 江蘇省第11批六大高峰人才項(xiàng)目(2014-XXRJ-006)資助
【分類號(hào)】:TH766;TP212
,
本文編號(hào):2244954
[Abstract]:Sparse array imaging technology has been widely studied in the field of underwater detection. Aiming at the problems of high sidelobe level and low imaging contrast caused by the distributed characteristics of sparse array, an array synthesis method based on weighted norm minimization is proposed for underwater ultrasonic sensor array. The objective function and constraint conditions are set up, several iterations are carried out, and the position of the array element and the element excitation are optimized simultaneously. Finally, the area array of 20 脳 20 is synthesized into a sparse array of 51 elements, and the sidelobe level is below -15 dB. The performance of beam map of sparse array synthesized by convex optimization array is compared with that of beam map synthesized by Chebyshev array, and the imaging simulation is carried out. The results show that the array obtained by convex optimization not only guarantees the quality of imaging, but also ensures the image quality. It can greatly reduce the number of emitter elements, reduce the complexity of the system, and obtain the expected sidelobe level.
【作者單位】: 南京信息工程大學(xué)江蘇省大氣環(huán)境與裝備技術(shù)協(xié)同創(chuàng)新中心;南京信息工程大學(xué)江蘇省氣象傳感網(wǎng)技術(shù)工程中心;南京信息工程大學(xué)江蘇省氣象探測(cè)與信息處理重點(diǎn)實(shí)驗(yàn)室;南京郵電大學(xué)電子科技與工程學(xué)院;
【基金】:江蘇省重點(diǎn)研發(fā)計(jì)劃社會(huì)發(fā)展項(xiàng)目(BE2015692) 國(guó)家自然科學(xué)基金(41075115) 江蘇省第11批六大高峰人才項(xiàng)目(2014-XXRJ-006)資助
【分類號(hào)】:TH766;TP212
,
本文編號(hào):2244954
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