带指向约束的多目标调零天线
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摘要
在卫星导航接收机中,传统调零天线无法形成对卫星信号的主瓣指向.为了能同时形成多个天线方向图主瓣,并分别对准不同卫星信号,从而提高阵列增益,文中引入导向约束条件,采用直接矩阵求逆方法求解每个卫星信号的最优权矢量解,并完成波束合成;分析了文中算法的运算量,给出了阵列增益的解析表达式.研究表明,文中算法不仅抑制了外部干扰,而且克服了卫星信号间的相互干扰,形成了对每个卫星信号的主瓣指向,提高了输出信噪比.方向图和期望信号输出信干噪比的仿真结果验证了该算法的有效性.
In satellite navigation receivers,traditional nulling antennas cannot form the main lobe of satellite signal points. In order to form a plurality of main lobes of an antenna corresponding to different satellite signals and thus to improve array gains,an orientation constraint condition is introduced into this paper,and direct matrix inversion is adopted to solve the optimal weight vectors of each satellite signal. Moreover,a beamforming is completed. Then,the computation amount of the proposed algorithm is discussed,and an analytical expression of the array gains is proposed. It is found that this algorithm not only suppresses the external disturbance but also overcomes the mutual interference between satellite signals,and it causes the main lobes of each satellite signal to form,thus improving output SNR. In addition,the effectiveness of the proposed algorithm is demonstrated by the simulation results of pattern and output SINR.
In satellite navigation receivers,traditional nulling antennas cannot form the main lobe of satellite signal points. In order to form a plurality of main lobes of an antenna corresponding to different satellite signals and thus to improve array gains,an orientation constraint condition is introduced into this paper,and direct matrix inversion is adopted to solve the optimal weight vectors of each satellite signal. Moreover,a beamforming is completed. Then,the computation amount of the proposed algorithm is discussed,and an analytical expression of the array gains is proposed. It is found that this algorithm not only suppresses the external disturbance but also overcomes the mutual interference between satellite signals,and it causes the main lobes of each satellite signal to form,thus improving output SNR. In addition,the effectiveness of the proposed algorithm is demonstrated by the simulation results of pattern and output SINR.
引文
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[2]YUAN Y,WANG B,WUUNIFIED B.Modulation and demodulation design for satellite communication systems[J].Electronics Letters,2016,52(4):327-329.
[3]RAO J B L,MITEL R,PATEL D P,et al.Low-cost multibeam phased array antenna for communications with GEO satellites[J].IEEE Aerospace and Electronic Systems Magazine,2013,28(6):122-126.
[4]COMPTON R T.The power inversion adaptive array:concept and performance[J].IEEE Transactions on Aerospace and Electronic Systems,1979,15(6):803-814.
[5]NGAI E C,BLEJER D J,TRI Phuong,et al.Anti-jam performance of small GPS polarimetric arrays[J].IEEE Antennas and Propagation Society International Symposium,2002,2(2):128-131.
[6]ZENG Hao,AHMAD Z S,DONG Tao,et al.Null steering antenna beamforming utilizing space-time adaptive processing[J].Journal of China Universities of Posts and Telecommunications,2015,22(4):51-55.
[7]XU J,LIAO G,ZHU S,et al.Response vector constrained robust LCMV beamforming based on semidefinite programming[J].IEEE Transactions on Signal Processing,2015,63(21):1215-1219.
[8]BHOTTO M Z A,BAJIC I V.Constant modulus blind adaptive beamforming based on unscented Kalman filtering[J].IEEE Signal Processing Letters,2015,22(4):474-478.
[9]ZHI Tian,BELL K L,van TREES H L.A recursive least squares implementation for LCMP beamforming under quadratic constraint[J].IEEE Transactions on Signal Processing,2001,49(6):1138-1145.
[10]HADAD E,MARQUARDT D,DOCLO S,et al.Theoretical analysis of binaural transfer function MVDR beamformers with interference cue preservation constraints[J].IEEE/ACM Transactions on Audio Speech and Language Processing,2015,23(12):2449-2464.
[11]HADAD E,DOCLO S,GANNOT S.The binaural LCMV beamformer and its performance analysis[J].IEEE/ACM Transactions on Audio Speech and Language Processing,2016,24(3):543-558.
[12]RAZAVI S M,RATNARAJAH T.Adaptive LS and MMSE based beamformer design for multiuser MIMO interference channels[J].IEEE Transactions on Vehicular Technology,2016,65(1):132-144.
[13]CHANG C P,LIU C W.Unit commitment by lagrangian relaxation and genetic algorithms[J].IEEE Transactions on Power Systems,2000,15(2):707-714.
[14]MEHER P K.Unconstrained hartley domain least mean square adaptive filter[J].IEEE Transactions on Circuits and Systems II:Analog and Digital Signal Processing,1993,40(9):582-585.
[15]BHOTTO M Z A.Robust recursive least-squares adaptive-filtering algorithm for impulsive-noise environments[J].IEEE Signal Processing Letters,2011,18(3):185-188.
[16]ANU Y,WAX M.Performance analysis of the minimum variance beamformer[J].IEEE Transactions on Signal Processing,2015,44(4):928-937.