【摘要】：稀疏基陣成像技術已在水下探測領域廣為研究。針對稀疏基陣的分布特性帶來的波束旁瓣電平升高、成像對比度降低等問題,提出一種基于加權范數(shù)最小化的陣列綜合方法用于水下超聲傳感器陣列,設定目標函數(shù)及約束條件,進行多次的迭代,同時優(yōu)化陣元位置與陣元激勵,最后將20×20的面陣綜合優(yōu)化成51個陣元的稀疏基陣,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行比較,且進行成像仿真,結果表明,采用凸優(yōu)化獲得的基陣在保證成像質量的同時,可以大幅減少發(fā)射陣元的數(shù)目,降低系統(tǒng)復雜性,并獲得預期的旁瓣電平。
[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】： 南京信息工程大學江蘇省大氣環(huán)境與裝備技術協(xié)同創(chuàng)新中心;南京信息工程大學江蘇省氣象傳感網(wǎng)技術工程中心;南京信息工程大學江蘇省氣象探測與信息處理重點實驗室;南京郵電大學電子科技與工程學院;
【基金】：江蘇省重點研發(fā)計劃社會發(fā)展項目(BE2015692) 國家自然科學基金(41075115) 江蘇省第11批六大高峰人才項目(2014-XXRJ-006)資助
【分類號】：TH766;TP212
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本文編號：2244954