CAJ | 학술논문

针对谐波雷达导引头在攻击谐波散射目标时谐波弹道系数噪声过高的问题，提出了谐波雷达导引头目标信息估计算法。该算法使用卡尔曼滤波器信息估计的方法进行降噪。根据目标的运动轨迹推导了目标谐波弹道系数模型，就目标的二次谐波和三次谐波进行谐波弹道系数仿真，并将卡尔曼滤波器与传统维纳滤波器进行滤波结果对比验证，仿真验证表明卡尔曼滤波器具有更好的谐波噪声抑制效果，由此说明了谐波雷达导引头在目标信息估计领域的实用性。
침대해파뢰체도인두재공격해파산사목표시해파탄도계수조성과고적문제，제출료해파뢰체도인두목표신식고계산법。해산법사용잡이만려파기신식고계적방법진행강조。근거목표적운동궤적추도료목표해파탄도계수모형，취목표적이차해파화삼차해파진행해파탄도계수방진，병장잡이만려파기여전통유납려파기진행려파결과대비험증，방진험증표명잡이만려파기구유경호적해파조성억제효과，유차설명료해파뢰체도인두재목표신식고계영역적실용성。
Aiming at harmonic radar seeker's ballistic trajectory coefficient noise problem,the Kalman filter was used to estimate the information of target when hitting the harmonic scattering target.According to target's movement trajectory,target's harmonic wave ballistic trajectory coefficient model was built.Based on the target 's second order harmonic wave and third order harmonic wave model,the simulation was carried out.The out-puts of traditional wiener filter and Kalman filter were compared.The results showed that the Kalman filter re-duced the harmonic noise more effectively.It was proved that harmonic wave radar seeker had advantage in the field of target information estimation.