CAJ | 학술논문

复杂环境下的多普勒频移变化及信号功率衰减均会造成载波跟踪偏差较大甚至失锁，针对标准卡尔曼滤波算法跟踪机动目标时不能同时满足高动态及高灵敏度要求的问题，提出一种基于变维卡尔曼滤波的载波跟踪算法。引入机动和非机动两种载波跟踪模型，通过机动检测因子监视载波动态变化，实时高效地切换载波跟踪模型，从而实现对载波机动和非机动状态的自适应跟踪，抑制机动改变引起的较大误差突跳。理论分析和仿真结果表明，该算法在低至30dBHz弱信号环境下，相比基于标准卡尔曼滤波的跟踪算法，其在目标动态突变时相位跟踪误差减小约37．5％，频率跟踪误差减小约77％。
복잡배경하적다보륵빈이변화급신호공솔쇠감균회조성재파근종편차교대심지실쇄，침대표준잡이만려파산법근종궤동목표시불능동시만족고동태급고령민도요구적문제，제출일충기우변유잡이만려파적재파근종산법。인입궤동화비궤동량충재파근종모형，통과궤동검측인자감시재파동태변화，실시고효지절환재파근종모형，종이실현대재파궤동화비궤동상태적자괄응근종，억제궤동개변인기적교대오차돌도。이론분석화방진결과표명，해산법재저지30dBHz약신호배경하，상비기우표준잡이만려파적근종산법，기재목표동태돌변시상위근종오차감소약37．5％，빈솔근종오차감소약77％。
Doppler shift and signal power attenuation in the complex environment both can make deviation bigger or even lose lock.Because the conventional Kalman filter can’t meet the dual requirements of high dynamic and high sensitivity when tracking maneuvering targets,a new carrier tracking method based on variable dimension Kalman filter was presented.By introducing motor model and non-monitor model of the carrier tracking and through putting in a maneuvering detector to monitor target movements,the real-time and effective switching of carrier tracking model was realized,so the adaptive tracking of carrier in motor and non-monitor state was achieved and the error caused by the change of maneuverability was overcome.Theoretical analysis and simulation results show that:comparing with the tracking algorithm based on standard Kalman filter,the phase tracking error of this algorithm is reduced by about 37.5%and the frequency tracking error is reduced by about 77%in weak carrier-to-noise ratio as low as 30dBHz environment.