摘要
为了减少系统复杂度和提高系统实时性,提出了一种新的级联算法。首先,通过三系数滤波器模型对连续波干扰进行建模,从而形成一种非线性卡尔曼自适应滤波器,并利用该滤波器作为预处理器对每路中的窄带干扰进行抑制。随后,将各路滤波器的输出送入空时自适应处理器中进行宽带干扰的抑制。仿真结果表明,在匹配谱干扰环境下,特别是在窄带干扰从卫星信号方向入射时,新算法相对于普通的空时和空频自适应处理表现出了更加优越的性能。
In order to reduce the complexity of the multistage system and improve the system immediacy, a new cascaded approach is proposed. Taking a three-coefficient finite impulse response （FIR） model for the continuous wave interference （CWI）, a nonlinear Kalman-type adaptive filter is formulated to suppress narrow band interferences. Subsequently, pre-processing results are transmitted to a space-time adaptive processor to suppress wide band interferences. Simulation results show that the new approach outperforms ordinary space-time adaptive processor and space-frequency adaptive processor under the condition of matched-spectrum interferences, especially when the narrow band interferences NBIs are incomming from the direction of the satellite.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2013年第7期932-937,共6页
Journal of Astronautics
基金
国家自然科学基金(61273053
41174028)
关键词
全球定位系统
条件均值滤波
空时自适应处理
匹配谱干扰
信干噪比
Global positioning system
Approximate conditional mean filter
Space time adaptive processor
Matched-spectrum interference
Signal interference noise ratio
