空军工程大学学报(自然科学版)
空軍工程大學學報(自然科學版)
공군공정대학학보(자연과학판)
JOURNAL OF AIR FORCE ENGINEERING UNIVERSITY (NATURAL SCIENCE EDITION)
2013年
6期
38-41
,共4页
组网雷达%自适应滤波%数据融合%模糊推理
組網雷達%自適應濾波%數據融閤%模糊推理
조망뢰체%자괄응려파%수거융합%모호추리
netted radar%self-adapt filter%data fusion%fuzzy logic inference
针对高速、机动目标的实时、精确跟踪问题,提出一种能在线调整组网雷达中各雷达权值的自适应数据融合算法。按照一定的规则寻找最佳的权系数,使融合后目标的状态估计值最优;把输入信号用作自适应滤波器的量测信号,利用新息相关的自适应滤波算法对状态方程及量测方程中误差的变化调节增益矩阵的大小,同时根据自适应滤波的状态偏差输出信号与当前的量测数据,运用模糊推理规则对组网雷达系统中各雷达的权值进行在线调节;系统输出结果即为自适应数据融合下目标的最优状态估计值。仿真结果验证了该算法在跟踪精度和收敛速度上的优越性,实现了组网雷达系统对目标的自适应跟踪。
針對高速、機動目標的實時、精確跟蹤問題,提齣一種能在線調整組網雷達中各雷達權值的自適應數據融閤算法。按照一定的規則尋找最佳的權繫數,使融閤後目標的狀態估計值最優;把輸入信號用作自適應濾波器的量測信號,利用新息相關的自適應濾波算法對狀態方程及量測方程中誤差的變化調節增益矩陣的大小,同時根據自適應濾波的狀態偏差輸齣信號與噹前的量測數據,運用模糊推理規則對組網雷達繫統中各雷達的權值進行在線調節;繫統輸齣結果即為自適應數據融閤下目標的最優狀態估計值。倣真結果驗證瞭該算法在跟蹤精度和收斂速度上的優越性,實現瞭組網雷達繫統對目標的自適應跟蹤。
침대고속、궤동목표적실시、정학근종문제,제출일충능재선조정조망뢰체중각뢰체권치적자괄응수거융합산법。안조일정적규칙심조최가적권계수,사융합후목표적상태고계치최우;파수입신호용작자괄응려파기적량측신호,이용신식상관적자괄응려파산법대상태방정급량측방정중오차적변화조절증익구진적대소,동시근거자괄응려파적상태편차수출신호여당전적량측수거,운용모호추리규칙대조망뢰체계통중각뢰체적권치진행재선조절;계통수출결과즉위자괄응수거융합하목표적최우상태고계치。방진결과험증료해산법재근종정도화수렴속도상적우월성,실현료조망뢰체계통대목표적자괄응근종。
For the tracking of maneuvering targets under complicated air-battle environment,an adaptive fil-ter data fusion algorithm for netted radar tracking is presented.First,according to a certain rule,the algo-rithm is used to find the best weights to make the fusion estimate an optimal goal.Secondly,the point is put into adaptive filter as an input signal.The interest related new adaptive filtering algorithm is used for the error change in the state equation and measurement equation to adjust the size of the gain matrix.Ac-cording to the adaptive filter system state noise output signal and the current data,weights for radars are adjusted on line by using fuzzy logic system.The system output is the adaptive data fusion target optimal state estimation.The results of simulation verify the superiority of the algorithm in precision and conver-gence speed and realize the adaptive tracking for the target of netted radar system.