- 學位論文
方位估計與波束合成演算法研究與軟體無線電平臺實現
Study of DOA and Beamforming Algorithms and SDR Platform Implementation
摘要
本論文吾人所探討是估計訊號來源方位與波束合成器的方法，現今較常使用的來源方位估計演算法是：Fourier、MUSIC、ESPRIT，而三種波束合成器是：Fourier、MVDR、MCMV。論文中比較了ESPRIT、MUSIC 及Fourier三種方位估計演算法，設定各項不同的模擬環境參數：天線陣列數、資料點數、角度變化來比較其位元錯誤率與訊雜比、角度變化與誤差向量幅度、均方誤差與訊雜比之性能的影響。並將三種方位估計與波束合成器演算法做結合，以模擬方式找出最佳性能的方法。最後進行儀器及軟體無線電(Software Define Radio, SDR)平臺的實現，驗證智慧型天線技術之DOA指向性及波束合成場型之性能，進而發展目標波束偵測之收發機平臺。最後經由上述SDR平臺驗證測試，可證實本論文所提出之技術可行性佳及具有實用價值。
並列摘要
In this thesis, the direction of arrival (DOA) estimation and beamformer methods are explored. The well-known DOA methods, i.e., Fourier, MUSIC, and ESPRIT are evaluated and compared under the different simulation scenarios. The parameters of simulation involve the number of antenna elements, number of data samples, and varying angles. Next, the bit error rate (BER), signal-to-interference-noise ratio (SINR), error vector magnitude (EVM), and mean squared error (MSE) performances of different DOA methods are simulated and compared. Moreover, the above three methods with DOA results are used to beamformer methods, i.e., Fourier, MVDR, and MCMV for searching algorithm with best performance. Finally, the equipments and SDR platform are developed to verify the DOA and beamformer performances of the studied methods for smart antenna application. Furthermore, the measurement results of software defined radio (SDR) platform confirm the studied techniques with the valuable and realistic merits.