Comparison between adaptive algorithms using in GPS receiver
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摘要: 为了比较功率反演、多信号归类和最小范数自适应算法的抗干扰性能,研究了各算法的基本原理,并在均匀线阵中采用各算法进行仿真,比较各算法在有用信号和干扰来向上得到的天线增益.仿真中有用信号为-160 dBW的GPS卫星信号,两个同频干扰来自不同方向,并在仿真中改变干扰功率.仿真结果表明这三种算法都可以用于GPS接收机抗干扰.其中,功率反演算法抑制弱干扰的性能较差;多信号归类算法抑制弱干扰的性能较好,但会引入错误零陷;最小范数算法既可以抑制弱干扰,也不会引入错误零陷.Abstract: To compare the adaptive algorithms performance, such as power inversion (PI),multiple signal classification (MUSIC),and min-norm algorithms, the algorithms principle was analysed. In computer simulation, the algorithms were adopted in uniform linear array, the antenna gain in the useful signal and interference directions were compared. Power inversion, multiple signal classification, and min-norm algorithms were compared in case of using GPS signal with power -160 dBW as a useful signal and a varying power for the interference of the same frequency coming from different directions. The simulation result indicates that the three algorithms can be used for GPS receiver to achieve anti-jammer. The power inversion algorithm gives a bad result when dealing with low power interference, MUSIC algorithm can cancel the low power interference but introduces a lot of false nulls, but min-norm algorithm can cancel the low power interference and also do not introduce false nulls.
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Key words:
- antenna arrays /
- adaptive algorithms /
- interference suppression
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[1] Compton R J. The power-inversion adaptive array - concept and performance[J]. IEEE Transaction on Aerospace and Electronic Systems, 1979, 15(6):803-814 [2] Compton R J. Adaptive arrays:on power equalization with proportional control .ESL-3234-1,1971 [3] Schwegman C W, Compton R J. Power inversion in a two elements adaptive array .ESL-3433-3, 1972 [4] Zahm C L. Application of adaptive arrays to suppress strong jammers in the presence of weak signals[J]. IEEE Transaction on Aerospace and Electronic Systems, 1973, 9(3):260-271 [5] Mohamed E A. Adaptive antenna utilizing power inversion and linearly constrained minimum variance algorithms[J].Chinese Journal of Aeronautics,2005,18(2):153-160 [6] Schmidt R O. Multiple emitter location and signal parameter estimation . IEEE Transactions on Antennas and Propagation, 1986, 34(3):276-280 [7] Schmidt R O, Franks R E. Multiple source DF signal processing:an experimental system[J]. IEEE Transaction on Antennas and Propagation, 1986, 34(3):281-290 [8] Lu Yan’e, Yang Jun, Ding Ziming ,et al. The orthogonal weighted algorithm for GPS receiver anti-jamming CIE International Conference on Radar. Beijing:CIE Press,2001:15-18 [9] Simon H. Adaptive filter theory[M].Fourth edition. Beijing:Publishing House of Electronics Industry, 2002:231-312 [10] Paulraj A,Kailath T. Eigenstructure methods for direction of arrival estimation in the presence of unknown noise fields[J]. IEEE Transactions on Acoustic, Speech, and Signal Processing, 1986,34(1):13-20 [11] Kumaresan R, Tufts D W. Estimating the angles of arrival of multiple plane waves[J]. IEEE Transactions on Aerospace and Electronic Systems, 1983,19(1):134-139 [12] Kumaresan R. On the zeros of the linear prediction-error filter for deterministic signals[J]. IEEE Transactions on Acoustic, Speech, and Signal Processing,1983,31(1):217-220 [13] Makhoul J. Linear prediction:a tutorial review[J]. IEEE Transactions on Acoustic, Speech, and Signal Processing, 1975,63(4):561-580
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