CAJ | 학술논문

针对雷达和非相干诱饵的功率和相关性特点,利用噪声子空间的不变特性,提出了改进的子空间DOA估计方法,与MUSIC算法相比,不仅对空间分布很近的信号有更高的角分辨力,而且对功率不等的信号和相关性较强的信号均能很好地分辨,将此方法应用于被动雷达导引头中,能够很好地分辨雷达和非相干诱饵,计算机仿真结果和实测数据均验证了算法的性能.
침대뢰체화비상간유이적공솔화상관성특점,이용조성자공간적불변특성,제출료개진적자공간DOA고계방법,여MUSIC산법상비,불부대공간분포흔근적신호유경고적각분변력,이차대공솔불등적신호화상관성교강적신호균능흔호지분변,장차방법응용우피동뢰체도인두중,능구흔호지분변뢰체화비상간유이,계산궤방진결과화실측수거균험증료산법적성능.
The traditional wideband PRS(Passive Radar Seeker)of the ARM(Anti Radar Missile)can not antagonize the radar decoy,a new-style wideband PRS should be developed.Using the super resolution DOA(Direction of Arrival)estimation algorithm to reduce the resolution angle is an effective method for the PRS to antagonize the non-coherent radar decoy.Considering the power and correlation property between radar and non-coherent decoy,an improved subspace DOA estimation method using the invarianee property of noise subspaee is proposed.Compared to the traditional MUSIC algorithm,this new method shows not only a better resolution in the condition of closely spaced sources,but also superior performance in case of different power or partially correlated sources.The PRS(Passive Radar Seeker)using this new method can distinguish radar and non-coherent decoy with good performance.Both the simulation result and the experimental data confirm the performance of the method.