本論文提出低複雜主動消除區間干擾演算法之軟硬體架構，且利用軟硬體共同設計的概念，設計整體演算法架構。我們以減少LS estimate運算次數來簡化主動消除區間干擾演算法，並且進一步提出硬體架構。演算法將分為軟硬體兩部份，其中較複雜且無規則性為軟體部分，相反的將具有規則性的部份則為硬體，實現方式軟體部分是以MATLAB實現，硬體方式是以FPGA實現，並且利用Verilink作為FPGA和MATLAB之間溝通的介面，以達到軟硬體共同驗證。利用硬體加速的方式提升整體演算法運算速度。硬體面積僅1039 gates，整體效能可以達到約-40dB的帶拒能力。

The thesis presents hardware/software architecture and implementation of low complexity active interference cancellation. Hardware/software co-design methodology was used to design architecture. We reduce the computational time of LS estimate that to simplify active interference cancellation. We also proposed hardware structure for LS estimate. The algorithm has been separated two parts. The regular part is hardware and the other part is software. The software part was carrier our MATLAB, and hardware was implement by FPGA board. Verilink apply communication interface between FPGA with Matlab, therefore we use Verilink to complete hardware/software co-verification. We used hardware accelerate methodology to promote speed of algorithm. Proposed hardware structure only 1039 gates, which is very low cost. Our architecture have to -40dB notch depth.

參考文獻
[1] H. Yamaguchi, “Active interference cancellation technique for MB-OFDM cognitive radio,” in Proc. 34th European Microwave Conference, vol. 2, Oct. 2004, pp. 1105-1108.

[2] S. G. Huang and C. H Hwang, “Low complexity active interference cancellation for OFDM cognitive radios,” in Proc. IEEE Wireless Commun. & Networking Conf. (WCNC) 2008, Mar. 2008, pp. 1279-1283.

[3] S. M. Mishra, S. T. Brink, R. Mahadevappa, and R. W. Brodersen, “Detect and avoid: an Ultra-Wideband /WiMAX coexistence mechanism,” IEEE Commun. Mag., vol. 45, no. 6, pp. 68–75, June 2007.

[4] C. Paillard. (2006, Feb.). Sdr：今天的神話，明天的現實. Semiconductor Insights Corp., US. [Online] Available: http://www.eettaiwan.com/ART_8800405841_617723_NT_69759df8.HTMxx

[5] 黃南盛,“SDR軟體無線電技術”,第96期電腦與通訊雜誌, June 2001, pp.8-17.

[6] 林高洲,“感知無線電之運用與發展”,第五十二期中華民國電子零件認證委員會報告書, Oct. 2008, pp.31-38.

[7] J. Donovan. (2007, Apr.). Next generation: cognitive radio, US. [Online] Available: http://pdt.acesuppliers.com/meg/meg_1_6457356427200711293413437_7916.html

[8] 朱振華. (2006, July). 感知無線電：頻譜共用更智能, China. [Online] Available: http://www.enet.com.cn/article/2006/0718/A20060718138037.shtml

[9] F. K. Jondral, “Software-defined radio: basics and evolution to cognitive radio”, in Proc. EURASIP Journal on Wireless Commun, Mar. 2005, pp. 275-283.

[10] J. Glossner, D. Iancu, J. Lu, E. Hokenek, and M. Moudgill, Sandbridge Technologies, Inc., “A software-defined communications baseband design,” IEEE Commun. Mag., pp120-128, January 2003.

[11] OMAP-Vox single-chip solution for affordable multimedia-rich phones user manual, TI Crop., US. [Online] Available: http://focus.ti.com/general/docs/wtbu/wtbuproductcontent.tsp?templateId=6123&navigationId=12732&contentId=27883

[12] 電子工程專輯編輯室. (2007, Nov.). 感知無線電應用潛力涵蓋公共安全與軍事. Global sources Crop., TW. [Online] Available: http://www.eettaiwan.com/ART_8800489002_617723_NT_4b44ef2e.HTM

[13] C. H. Liu, “Design and evaluation of energy detection algorithms for IEEE 802.11a systems,” in Proc. IEEE Radio and Wireless Conference, 2003. RAWCON '03, Aug. 2003, pp. 63-66.

[14] M. Stojanovic, “An adaptive algorithm for differentially coherent detection in the presence of intersymbol interference,” IEEE Trans. selected areas in communications, vol. 23, pp1884-1980, Sep. 2005.

[15] C. Cordeiro, K. Challapali, D. Birru, “IEEE 802.22: the first worldwide wireless standard based on cognitive radios,” in Proc. IEEE New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005., Nov. 2005, pp. 328-337.

[16] C. D. Chung, “Coherent and differentially coherent detections of orthogonally multiplexed orthogonal phase-modulated signals,” IEEE Trans. Commun., Vol. 51, pp. 428-440, Mar. 2003.

[17] Verilink user manual, SMIMS北瀚科技股份有限公司, Tainan Taiwan, Prototype. Oct. 2007.

[18] F. Rivoallon. (2005, Jan.). The performance and application of Xilinx multi-plaform Virtex-4 FPGA, Xilinx Corp., US. [Online] Available:http://www.eetchina.com/ART_880035775.0_617685_TA_4f085891.HTM

[19] S. Woods, Probability and Random Processes with Application to Signal Processing. (3rd ed.). Reading, MA: Prentic-Hall, 2002, pp.560-563.

[20] Jae Yeon Wont, Sung Bo Shimt, Yun Hee Kimt , Sung Hyun Hwang, Myung Sun Song,Chang Joo Kim, “An adaptive ofdma platform for ieee 802.22 based on cognitive radio,” in Proc. IEEE, Commun., 2006. APCC '06. Asia-Pacific Conference, Aug. 2006, pp. 1 - 5.

[21] J. Mitola, “Cognitive radio: making software radio more personal,”IEEE Trans. Wireless Commun., vol. 6, no. 4, pp. 48–52, 1999.

[22] J. Mitola, Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio, Ph.D. dissertation, Royal Institute of Technology (KTH), Sweden, May 2002.