局域化联合杂波抑制算法研究  

STUDY ON CLUTTER SUPPRESSION WITH LOCALISED JOINT ALGORITHM

作　　者：张环[1,2] 王聪华[1] 薛茹[1] 

机构地区：[1]西藏民族学院信息工程学院,陕西咸阳712082 [2]清华大学计算机科学与技术系,北京100084

出　　处：《计算机应用与软件》2013年第4期15-18,21,共5页Computer Applications and Software

基　　金：国家自然科学基金项目(61162025);东南大学移动通信国家重点实验室开放研究基金项目(2011D15)

摘　　要：传统的局域化联合算法使用傅里叶变换从脉冲数变换到多普勒域,由于脉冲数的限制,导致了变换后的傅里叶系数采样出现偏差,导致对某些目标速度不易检测,使得检测性能降低。通过改变传统局域化联合算法中的分块模式,把一个多普勒通道划分在两个以上的局域块中,解决傅里叶变换系数采样不准的问题,从而能够改善检测性能,对于某些目标速度,改进的JDL算法可以在信干噪比下降3dB左右时,依然达到和传统JDL算法相同的检测概率。Because of the limitation of pulse numbers,Fourier transform will encounter the coefficients sampling warp when it is employed by traditional localised joint algorithm to transform the pulse numbers to Doppler domain,which results in some target speeds being hard to detect and the degradation of the detection performance.Through modifying the dividing pattern of localised processing regions（LPR） in traditional localised joint algorithm and splitting one Doppler channel to two or more LPRs,the problem of Fourier transform coefficients in regard to deviated sampling can be resolved,and the detection performance will be improved as well.For some of the target speeds,the modified localised joint algorithm can still achieve the same detection probability of the traditional one when the signal interference noise ratio degrades about 3dB.

关 键 词：局域化联合算法 改进 杂波抑制 空时自适应处理 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]