研究生: |
林逸儒 Lin, I-Ju |
---|---|
論文名稱: |
未知水下聲源訊號估測 Estimator Design for Underwater Sound Source with Strong Background Noise Effects |
指導教授: |
陳永裕
Chen, Yung-Yu |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 系統及船舶機電工程學系 Department of Systems and Naval Mechatronic Engineering |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 英文 |
論文頁數: | 90 |
中文關鍵詞: | 卡爾曼濾波器 、水下聲源 、自艦噪聲 |
外文關鍵詞: | Kalman filter, Underwater Sound, Self-noise |
相關次數: | 點閱:62 下載:0 |
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本論文提出一個於強烈背景噪音情況下水下聲源的處理方法,此方法是基於多層卡爾曼濾波器的適應性估測設計。本論文設計此多層卡爾曼濾波器的其中一個目的是估測在強烈背景噪音下的原始訊號及系統模型參數,即在自身船艦掛載水下聲源偵測裝置但是自身船艦會產生極為吵雜的自艦噪聲,而此方法的另外一項任務就是用來純化嘈雜的水下聲源。在估測效能測試中,本論文提出的方法在某幾組原始訊雜比低於-8分貝情況下可將水下聲源大幅地提升至可辨識的程度,當訊雜比超過-2分貝代表可辨識,而此方法不論在模擬的結果亦或是實作的結果其提升的訊雜比平均達13分貝以上。本論文提出的估測原始訊號方法有兩個主要的貢獻。首先,本方法採用簡單的水聽器陣列僅由兩個水聽器組成,相對於現有其他常見的方法這也是最為簡易的硬體配置。第二個貢獻則是在受強烈的自艦噪聲影響的情況下,此方法亦可有效的還原接收的聲源訊號。
An adaptive estimation design which is based on a multi-layer Kalman filter is proposed for the underwater sound recovery in this investigation. One main purpose of this multi-layer design is used to estimate the model parameters and estimate the original signal of background noises, i.e., self-noises come from ships with an underwater sound detector, and the other missions of this proposed method are utilized to purify the noisy underwater sound. From the estimation tests of this proposed method, several noisy underwater sounds which the initial SNRs are all lower than -8 dB can be highly improved to an identifiable level (-2 dB), and an average improved SNR of 13 dB can be obtained no matter simulation results or practical tests. There are two significant contributions delivered from this proposed estimation method. First, a simple hydrophone array with only two hydrophones is used, and this is the simplest arrangement in hardware with respect to the conventional existing designs. Second, this method can effectively recover the underwater sound under a really strong self-noise.
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