In order to prove the inverse windowing algorithm is a complete reconstruction algorithm, the inverse windowing algorithm is analyzed, through the method that the completely different inverse windowing algorithm and overlapping windowing algorithm are combined into the same mathematical model of SNR; equivalent model is established, the SNR loss of equivalent model is deduced by signal reconstruction theory, which demonstrates that inverse windowing algorithm is a kind of perfect reconstruction algorithm, so the idea is proposed that it is necessary for inverse windowing algorithm to use under conditions of incomplete reconstruction. Compared windowing effects between Hanning window and Blackman window in DSSS which contains narrow-band interference, error rate is simulated, which proves the correctness of this article conclusion. Interference suppression scheme is proposed.
Medlay M J, Saulnier G J, Das P K, et al.. Narrow-band interference excision in spread spectrum systems using lapped transform[J]. IEEE Transactions on Communications, 1997, 45(11): 1444-1455.
[2]
Stitz T H and Renfors M. Filter bank based narrow-band interference detection and suppression in spread spectrum system[J]. IEEE Symposium on Circuits and Systems, 2002, 2(11): 516-519.
Huang Guo-sheng, Yi Zheng-rong, Zhu Zhen-cai, et al.. A combined scheme of narrow band interference suppression for satellite spread- spectrum communication system[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2010, 27(5): 657-663
Zeng Xiang-hua, Li Zheng-rong, Wang Fei-xue, et al.. Study on windowing degradation of frequency-domain narrowband interference suppression algorithms in spread spectrum system[J]. Journal of Electronics & Information Technology, 2004, 26(8): 1276-1281.
[5]
Young J A and Lehnert J S. Performance Metrics for windows used in real-time DFT-based multiple-tone frequency excision [J]. IEEE Transactions on Signal Processing, 1999, 47(3): 800-812.
Yang Kai, Zou Yun, Yin Lu-ming, et al.. Design of frequency domain anti-jamming algorithm based on overlap windowed FFT[J]. Journal of Geomatics Science and Technology, 2013, 30(3): 228-231.
Luo Wu, Wang Wei-ping, Dong Ming-ke, et al.. An improved narrow-band interference suppression algorithm for spread spectrum systems using lapped FFT[J]. Chinese High Technology Letters, 2007, 17(2): 120-123.
Yang Xiao-bo and Wang Wei. Study on robust windowing technology of frequency domain interference suppression in spread spectrum system[J]. Transmitting & Receiving, 2011, 35(7): 128-131.
Meng Bo, Gong Wen-fei, Sun Xin, et al.. Narrowband interfererence suppression method based on inverse windowing and overlap-select[J]. Journal of Navigation and Positioning, 2014, 2(2): 94-96.
Ma Liu-hai, Zhang Tian-qiao, Liu Qin-li, et al.. A optimization design in overlapping windowing process for GNSS[J]. Electronics World, 2014, 3(3): 139-140.
[11]
Li K and Hou C P. New cooperative frequency domain differential modulation and demodulation[J]. Journal of Systems Engineering and Electronic, 2011, 6(6): 892-896.
[12]
Amin G M. Interference mitigation in spread spectrum communication systems using time-frequency distributions[J]. IEEE Transactionson Signal Processing, 1997, 45(1): 90-101.
Gong W F and Sun X. Research on the performance of filters narrowband interference suppression in satellite navigation receivers[J]. Signal Processing, 2011, 27(11): 1774-1779.
Jiang En-guang and Zhang Fu-hong. Analysis of narrow-band interference suppression in DSSS[J]. Chinese Journal of Electron Devices, 2014, 36(1): 73-75.
Zhang C H. The research of interference suppression technologies in DSSS communication systems[D]. [Ph.D. dissertation], National University of Defense Technology, 2006: 78-80.
Liu Y L, Kong J H, Liu H J, et al.. Analysis of frequency domain narrow-band interference suppression in DSSS based on simulink[J]. Information Systems and Networks, 2013, 43(12): 61-64.
Li Jian-wei, Li Zhi-qiang, Zhu Wen-ming, et al.. Analysis of the performance of narrow-band interference suppression algorithm based on BER criteria[J]. Journal of Spacecraft TT & C Technology, 2014, 33(5): 435-440.
