系统工程与电子技术
繫統工程與電子技術
계통공정여전자기술
SYSTEMS ENGINEERING AND ELECTRONICS
2009年
12期
2801-2805
,共5页
高频地波雷达%海杂波%混沌预测%神经网络集成
高頻地波雷達%海雜波%混沌預測%神經網絡集成
고빈지파뢰체%해잡파%혼돈예측%신경망락집성
high frequency ground wave radar%sea clutter%chaos prediction%neural network ensemble
针对高频地波雷达海杂波的混沌特性,提出了一种新的海杂波神经网络集成预测方法.该方法在重构的相空间中估计所有神经网络在预测样本邻域内的预测性能和错误关联,进行神经刷络的自适应选择和动态集成,实现海杂渡的神经网络集成预测.在OSMAR2000高频地波雷达系统海洋目标实测数据上的测试结果表明,该方法具有较高的海杂波预测精度.
針對高頻地波雷達海雜波的混沌特性,提齣瞭一種新的海雜波神經網絡集成預測方法.該方法在重構的相空間中估計所有神經網絡在預測樣本鄰域內的預測性能和錯誤關聯,進行神經刷絡的自適應選擇和動態集成,實現海雜渡的神經網絡集成預測.在OSMAR2000高頻地波雷達繫統海洋目標實測數據上的測試結果錶明,該方法具有較高的海雜波預測精度.
침대고빈지파뢰체해잡파적혼돈특성,제출료일충신적해잡파신경망락집성예측방법.해방법재중구적상공간중고계소유신경망락재예측양본린역내적예측성능화착오관련,진행신경쇄락적자괄응선택화동태집성,실현해잡도적신경망락집성예측.재OSMAR2000고빈지파뢰체계통해양목표실측수거상적측시결과표명,해방법구유교고적해잡파예측정도.
Because sea clutter in high frequency ground wave radar (HFGWR) echoes is chaotic,a new neural network ensembling method for sea clutter predicting is presented.In phase reconstructed space,the pre-dicting performance and error correlation of all artificial neural networks in the neighborhood of the current sea clutter sample are evaluated so as to adaptively choose and dynamically integrate the gualified part among them for sea clutter predicting.The testing result on the objects detecting echo data of the OSMAR2000 HFGWR system shows the predicting precision of the proposed method is higher than the non-ensembling prediction method,so it can be used to improve the objects detecting performance of HFGWR.
