博碩士論文 110523077 詳細資訊




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姓名 施泰伍(Wu-Tai Shih)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 基於USRP對多重輸入多重輸出之正交分頻多工雷達系統中針對不同序列之性能檢測
(Performance Analysis of Detection for Different Sequences in an Orthogonal Frequency Division Multiplexing Radar System with Multiple Input Multiple Output using USRP)
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摘要(中) 此篇論文研究的主要方向為深入研究多重輸入多重輸出正交分頻多工雷達系統的運作,特別的是挑選幾個不一樣的序列作為發射機所傳遞的訊號,評估其相對應的錯誤偵測機率。在同一頻段且相同時間內運行多個接收端的情況下,常常會引發彼此間造成相互干擾的問題。除此之外,在無線通訊系統中,多重路徑傳輸現象基本上都存在,導致額外的多重路徑干擾,進一步增加系統複雜性。因此,無論系統是否同步運作,皆迫切需要擁有具有理想自相關和交相關函數的序列,以確保能高效解決上述複雜干擾問題。此研究論文將透過系統性的模擬、實驗以及分析,由於實際在硬體上運作後的狀況,更可以協助更好地理解並處理多重輸入多重輸出正交分頻多工雷達系統所遇到的問題以及狀況和挑戰。

此篇論文的重點主要有幾個主題,首先瞭解如何檢測是否有目標的演算法,接下來介紹了四種傳送序列,包括Zadoff-Chu序列、Gold碼、M序列和高斯整數序列。隨後,進行利用MATLAB 進行模擬以及基於USRP軟體無線電平台進行實驗,將模擬和實作後的情況與各個序列之間的交相關還有自相關做進一步探討以及討論。
摘要(英) This research investigates the functioning of radar systems that use Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) radar systems. Particularly, the investigation focuses on scenarios where different sequences are chosen as transmission signals, and the corresponding error detection probabilities are evaluated. Mutual interference often arises when multiple users operate within the same frequency band and timeframe. Furthermore, the prevalent phenomenon of multipath propagation in wireless communication systems introduces additional complexity due to multipath interference. As a result, whether the system operates synchronously or asynchronously, adopting sequences with ideal autocorrelation and cross-correlation functions becomes imperative to mitigate the aforementioned intricate interference challenges effectively. This research employs a systematic approach, encompassing simulations, experimentation, and analysis, to provide insights into the practical performance of the radar system and to better comprehend and address the difficulties and challenges posed by a MIMO-OFDM radar system.

The focal points of this thesis encompass several vital aspects. Firstly, the study examines algorithms designed for target detection. Subsequently, four distinct transmission sequences are introduced, including Zadoff-Chu sequences, Gold codes, M-sequences, and Gaussian integer sequences. Then, simulations are conducted using MATLAB, and experiments are executed utilizing the USRP software-defined radio platform. The outcomes of these simulations and implementations are further discussed about the cross-correlation and autocorrelation of the respective sequences.
關鍵字(中) ★ 多重輸入多重輸出
★ 正交分頻多工
★ 雷達
★ 錯誤偵測機率
★ 無線通訊
★ 軟體定義無線電平台
關鍵字(英)
論文目次 論文摘要 i
Abstract ii
致謝 iv
Contents v
List of Figures vii
List of Tables viii
Chapter1. Introduction 1
1.1 Multiple-Input Multiple-Output 1
1.2 Orthogonal Frequency Division Multiplexing 4
1.3 MIMO Radar System 6
1.4 Software Define Radar Platform 8
1.5 Organization 9
1.6 Abbreviations 10
Chapter2. System Architecture 11
2.1 Transmitter Part 11
2.2 Receiver Part 12
2.3 Problem Formulation 13
Chapter 3. Sequences Design 16
3.1 Maximal Length Sequence 16
3.2 Gold Code 18
3.3 Gaussian Integer Perfect Sequence 20
3.4 Zadoff-Chu Sequence 23
Chapter 4. Simulation & Experiment Results 24
4.1 Sequence parameter 25
4.2 MATLAB Simulation 28
4.3 Simulation Results 30
4.4 Experiment Results 36
Chapter 5. Conclusion 42
Reference 43
參考文獻 [1] F. C. Robey, S. Coutts, D. Weikle, J. C. McHarg, and K. Cuomo, "MIMO radar theory and experimental results," in Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 7-10 Nov. 2004 2004, vol. 1, pp. 300-304 Vol.1, doi: 10.1109/ACSSC.2004.1399141.
[2] M. I. Skolnik, Radar Handbook, Third Edition. McGraw-Hill Education, 2008.
[3] Y. Yang and R. S. Blum, "MIMO radar waveform design based on mutual information and minimum mean-square error estimation," IEEE Transactions on Aerospace and electronic systems, vol. 43, no. 1, pp. 330-343, 2007.
[4] E. Fishler, A. Haimovich, R. S. Blum, L. J. Cimini, D. Chizhik, and R. A. Valenzuela, "Spatial diversity in radars—Models and detection performance," IEEE Transactions on signal processing, vol. 54, no. 3, pp. 823-838, 2006.
[5] E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and R. Valenzuela, "Statistical MIMO radar," in 12th Conf. on Adaptive Sensor Array Processing, 2004, pp. 16-18.
[6] E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and R. Valenzuela, "MIMO radar: An idea whose time has come," in Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No. 04CH37509), 2004: IEEE, pp. 71-78.
[7] E. Fishler, A. Haimovich, R. Blum, R. Cimini, D. Chizhik, and R. Valenzuela, "Performance of MIMO radar systems: Advantages of angular diversity," in Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2004, vol. 1: IEEE, pp. 305-309.
[8] D. R. Fuhrmann and G. San Antonio, "Transmit beamforming for MIMO radar systems using partial signal correlation," in Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2004, vol. 1: IEEE, pp. 295-299.
[9] J. Li and P. Stoica, "MIMO radar with colocated antennas," IEEE signal processing magazine, vol. 24, no. 5, pp. 106-114, 2007.
[10] J. Li and P. Stoica, MIMO Radar Signal Processing. Wiley, 2008.
[11] N. H. Lehmann, E. Fishler, A. M. Haimovich, R. S. Blum, D. Chizhik, L. J. Cimini, and R. A. Valenzuela, "Evaluation of transmit diversity in MIMO-radar direction finding," IEEE transactions on signal processing, vol. 55, no. 5, pp. 2215-2225, 2007.
[12] I. Bekkerman and J. Tabrikian, "Target detection and localization using MIMO radars and sonars," IEEE Transactions on Signal Processing, vol. 54, no. 10, pp. 3873-3883, 2006.
[13] L. Xu, J. Li, and P. Stoica, "Target detection and parameter estimation for MIMO radar systems," IEEE Transactions on Aerospace and Electronic Systems, vol. 44, no. 3, pp. 927-939, 2008.
[14] Y. Yang and R. S. Blum, "Minimax robust MIMO radar waveform design," IEEE Journal of Selected Topics in Signal Processing, vol. 1, no. 1, pp. 147-155, 2007.
[15] Z. Jiankui, X. Lijuan, D. Ziming, and Y. Shangzhun, "A novel signal processing method for MIMO radar based on channel estimation," in 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010, vol. 3: IEEE, pp. 413-415.
[16] P. Stoica, J. Li, and Y. Xie, "On probing signal design for MIMO radar," IEEE Transactions on Signal Processing, vol. 55, no. 8, pp. 4151-4161, 2007.
[17] N. Levanon, Radar principles / Nadav Levanon. New York: Wiley, 1988.
[18] L. L. Scharf and C. Demeure, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis. Addison-Wesley Publishing Company, 1991.
[19] P. Fan and M. Darnell, Sequence Design for Communications Applications. Research Studies Press, 1996.
[20] D. V. Sarwate and M. B. Pursley, "Crosscorrelation properties of pseudorandom and related sequences," Proceedings of the IEEE, vol. 68, no. 5, pp. 593-619, 1980.
[21] E. H. Dinan and B. Jabbari, "Spreading codes for direct sequence CDMA and wideband CDMA cellular networks," IEEE communications magazine, vol. 36, no. 9, pp. 48-54, 1998.
[22] R. Gold, "Optimal binary sequences for spread spectrum multiplexing (Corresp.)," IEEE Transactions on information theory, vol. 13, no. 4, pp. 619-621, 1967.
[23] T. B. Hale, M. A. Temple, and B. L. Crossley, "Ambiguity analysis for pulse compression radar using gold code sequences," in Proceedings of the 2001 IEEE Radar Conference (Cat. No. 01CH37200), 2001: IEEE, pp. 111-116.
[24] W. W. Hu, S. H. Wang, and C. P. Li, "Gaussian Integer Sequences With Ideal Periodic Autocorrelation Functions," IEEE Transactions on Signal Processing, vol. 60, no. 11, pp. 6074-6079, 2012, doi: 10.1109/TSP.2012.2210550.
[25] R. Heimiller, "Phase shift pulse codes with good periodic correlation properties," IRE Transactions on Information Theory, vol. 7, no. 4, pp. 254-257, 1961.
[26] C.-P. Li and W.-C. Huang, "A constructive representation for the Fourier dual of the Zadoff–Chu sequences," IEEE Transactions on Information Theory, vol. 53, no. 11, pp. 4221-4224, 2007
指導教授 陳永芳(Yung-Fang Chen) 審核日期 2023-11-16
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