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107results about How to "Improve SNR" patented technology

Ionospheric clutter suppression method of high-frequency ground wave radar

ActiveCN108872948ASuppression of ionospheric clutterReduce energy declineWave based measurement systemsRadio frequencyWide beam
Provided in the invention is an ionospheric clutter suppression method of a high-frequency ground wave radar. The invention relates to an ionospheric clutter suppression method of a high-frequency ground wave radar so that problems that the existing methods are mainly used for suppressing the narrowband radio-frequency interference and transient impact interference in the high frequency radar butnot suppressing the ionospheric interference, the existing methods are not suitable for wide-beam radars, and first-order Bragg peak information shortage and wave echo energy weakening are caused canbe solved. Compared with the traditional clutter suppression algorithm, the ionospheric clutter suppression method provided by the invention is characterized in that cancellation processing is completed by using the cross-correlation between the ionospheric multi-aggregation regional clutters; and the ionospheric clutters are suppressed, the wave echo and the first-order Bragg peak information arekept, and the declining in normal ocean echo energy is reduced. With the ionospheric clutter suppression method, the strong ionospheric clutter in the radar echo spectrum is obviously suppressed; theclutter suppression amplitude is improved, and the echo signal noise ratio is significantly increased. The ionospheric clutter suppression method is mainly applied to the high-frequency ground wave radar detection field.
Owner:HARBIN INST OF TECH

Anti-interference method based on intelligent antenna and neural network algorithm

InactiveCN102638296AMeet the accuracy requirements of reflective surfacesReduce distractionsSpatial transmit diversityNetwork planningNerve networkNeural network topology
The invention discloses an anti-interference method based on an intelligent antenna and a neural network algorithm. According to the method, a back frame structure of the antenna is used as a model; based on an artificial neural network, an intelligent antenna structure deformation estimator and a shape controller are designed; an improved error algorithm is adopted, so that the characteristics of high convergence rate and small calculation amount are realized; and a relatively high anti-interference characteristic is achieved. A typical applicable type is adopted by the conventional artificial neural network topology structure; the intelligent antenna is combined, and a bipolar intelligent antenna is used, so that the convenience in actual operation is achieved; the capacity of the 8-unit bipolar intelligent antenna can be met; the coverage aspect is within a normal cell coverage range; and obvious coverage loss does not exist. The transverse size of the bipolar intelligent antenna is reduced by over 50 percent compared with the conventional single-polar intelligent antenna and has obvious advantages of reducing the windward area, reducing the engineering mounting difficulty and reducing the electromagnetic radiation panic of common users.
Owner:TIANJIN UNIVERSITY OF TECHNOLOGY
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