• 沒有找到結果。

Chapter 4 Simulation Results and Performance

4.3 Simulation Results of I/Q-Mismatch with CW Jamming

4.3.4 Brief Summary

From Figure 4-7 and Table 4-3, by using the proposed methods, FD-IQME, PEAM, the performance can increase to 19.16dB; by using the proposed methods, FD-IQME, PEAM and TD-AVM, the performance can increase to 22.25dB.

Compared with using only FD-IQME, about 10 dB of improvement is obtained. In the future, some digital signal processing (DSP) techniques such as linear regression can be used to reach higher IRR .

Figure 4-7 IRR, comparison of FD-IQME w/o jamming, FD-IQME with jamming, PEAM+ FD-IQME with jamming, and TD-AVM+PEAM+ FD-IQME with jamming.

Table 4-3 IRR, comparison of FD-IQME w/o jamming, FD-IQME with jamming, PEAM+ FD-IQME with jamming, and TD-AVM+PEAM+ FD-IQME with jamming.

Methods FD-IQME PEAM TD-AVM IRR (dB)

w/o CW Jamming

ˇˇˇ

ˇ 35.96

ˇˇˇ

ˇ 11.93

Chapter 5

Conclusions and Future Work

5.1 Conclusions

The currently existing methods which are evaluated seem to provide some resistance to CW jamming. However, a robust method for solving CW jamming is needed. Therefore, time-domain estimator for IQ mismatch with CW jamming is considered to evaluate. As mentioned in the Section 3, while the power of CW jamming is reduced once, the IRR will improve significantly. The proposed methods and the simulation results demonstrate this idea. This concept also can be applied to the time-domain estimator.

The main contribution for this paper is as follows. First, by making use of STF, one shot calculated algorithm is proposed to estimate IQM coefficients without too complicated computations. Second, by defining image-rejection-ratio (IRR), the simulation time can be effectively reduced to obtain estimated IQM coefficients.

5.2 Future Work

In this section, three works are suggested to solve in the future. First, a I/Q mismatch estimation in time domain is proposed to resist CW jamming. Second, a

accurate channel-estimation is needed. Finally, the hardware implementation is continued.

5.2.1 I/Q Mismatch Estimation in Time Domain

From time domain view, the amplitude of CW jamming covers the one of desired signal due to SJR equal to -10 dB. By reducing the power of CW jamming, the performance of estimating IQ mismatch will improve greatly. Some property of STF can be used to reduce the power of CW jamming. For many positions of STF are null subcarriers in the frequency domain. If CW jamming corrupted the signal, the values of these positions will become nonzero. However, these values are forced to set to ZERO and that will not destroy the original signal because the values of these positions do not include the values of the original transmitted signal. And then the results are transformed from frequency domain to time domain by IFFT. After that, the power of CW jamming is reduced mostly and makes little effects on the signal.

But this method needs a time-domain estimator for I/Q mismatch.

5.2.2 Channel Estimation

Although a smooth filter is used to resist CW jamming, the performance of IRR is not good enough. For I/Q estimation in frequency domain, the estimation of channel frequency response (CFR) also affects the estimation of IQM coefficients. If a rough value of estimated CFR cannot be compensated, IRR is always very low.

Therefore, an anti-jamming channel-estimation is needed.

5.2.3 Hardware Implementation

The FD-IQME algorithm of 4X4 MIMO-OFDM system will be performed by verilog and then tap out. Therefore, RTL coed, gate-level verification, and layout need

Bibliography

[1] A. Tarighat, E. Bahheri, and A. H. Sayed, “Compensation schemes and performance analysis of IQ imbalances in OFDM receivers,” IEEE Trans. Signal Process., Aug. 2005.

[2] M. Valkama , M. Renfors, and V. Koivunen, “Compensation of frequency-selective IQ imbalances in wideband receivers models and algorithms”, Wireless Communications, 2001. (SPAWC '01). 2001 IEEE Third Workshop on Signal Processing Advances in 20-23 March 2001 Page(s):42 – 45 [3] K.P. Pun, J.E. Franca, C. Azeredo-Leme, C.F. Chan,C.S. Choy, “Correction of

frequency-dependent I/Q mismatches in quadrature receivers,” IEEE Electronics Letters, Volume 37, Issue 23, Page(s):1415–1417, Nov 2001.

[4] P. Rykaczewski, J. Brakensiek, F.K. Jondral, “Decision directed methods of I/Q imbalance compensation in OFDM systems,” IEEE 60th Vehicular Technology Conference (VTC2004-Fall), Volume 1, Page(s):484-487, Sept. 2004.

[5] M. Valkama, M. Renfors, V. Koivunen, “Advanced methods for I/Q imbalance compensation in communication receivers” IEEE Transactions Signal Processing, Volume 49, Issue 10, Page(s):2335–2344, Oct. 2001.

[6] J. Tubbax, A. Fort, L. Van der perre, S. Donnay, M. Engels, H. De Man, “Joint compensation of IQ imbalance and frequency offset in OFDM systems,“ in Proc.

GLOBECOM, vol. 4, pp.2365-2369, Dec 1-5. 2003

[7] P. Zhang, T. Nguyen, C. Lam, D. Gambetta, T. Soorapanth, B. Cheng, S. Hart, I.

Sever, T. Bourdi, A. Thaam, and B. Razavi, “A 5-GHz direct-conversion CMOS transceiver,” Solid-State Circuits, IEEE Journal of , vol.38, no.12, pp. 2232-2238, Dec. 2003

[8] D. Gerakoulis and P. Salmi, “An interference suppressing OFDM system for wireless communication,” in IEEE International Conference on Communications (ICC), New York, NY, Apr. 2002, pp. 480–484.

[9] Z. Wu and C. R. Nassar, “Narrowband interference rejection in OFDM via carrier interferometry spreading codes,” IEEE Trans. Wireless Commun., vol. 4, pp.1491–1505, July 2005.

[10] G. Carron, R. Ness, L. Deneire, L. V. der Perre, and M. Engles, “Comparison of two modulation techniques using frequency domain processing for in-house networks,” IEEE Trans. Consumer Electron., vol. 47, pp. 63–72, Feb. 2001.

[11] R. Nilsson, F. Sj¨oberg, and J. P. LeBlanc, “A rank-reduced LMMSE canceller for narrowband interference suppression in OFDM-based systems,” IEEE Trans.

Commun., vol. 51, pp. 2126–2140, Dec. 2003.

[12] D. Darsena, “Successive narrowband interference cancellation for OFDM systems,” IEEE Commun. Lett., vol. 11, pp. 73–75, Jan. 2007.

[13] A. J. Redfern, “Receiver window design for multicarrier communication systems,” IEEE J. Select. Areas Commun., vol. 20, pp.1029–1036, June 2002.

[14] A. J. Coulson, “Bit error rate performance of OFDM in narrowband interference with excision filtering,” IEEE Trans. Wireless Commun., vol. 5, pp. 2484–2492, Sept. 2006.

[15] Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, IEEE Std 802.11a, 1999

[16] Ta-Yang Juan, “The Study of Pilot-based Adaptive Equalization for Wireless MIMO-OFDM Baseband Designs”, NCTU thesis, 2006

[17] Kan-Si Lin, “The study of Adaptive Equalization in MIMO-OFDM systems”, NCTU thesis, 2007

[18] January 2005.B. Cutler, “Effects of physical layer impairments on OFDM systems,” RF Design Magazine, May 2002.

[19] M. Valkama, and M. Renfors. “Advanced DSP for I/Q imbalance compensation in a low-IF receiver,” in Proc. IEEE Int. Conf. on Communications, New Orleans, LA,USA, Jun.2000.pp.768-772.

[20] M. Valkama , M. Renfors, and V. Koivunen,,.”Blind source separation based I/Q imbalance compensation,” in Proc. IEEE Symposium 2000 on Adaptive Systems for Signal Processing, Communications and Control, Lake Louise, Alberta, Canada, Oct. 2000, pp 310-314.

[21] Hsu-Feng Hsiao; Meng-Han Hsieh; Che-Ho Wei, "Narrow-band interference rejection in OFDM-CDMA transmission system ," Circuits and Systems, 1998.

ISCAS '98. Proceedings of the 1998 IEEE International Symposium on , vol.4,

50 pp.2071-2088, Dec 1997

相關文件