本文選題：雷達(dá)信號(hào)分選　切入點(diǎn)：數(shù)據(jù)場(chǎng)　出處：《現(xiàn)代防御技術(shù)》2017年04期

【摘要】：針對(duì)傳統(tǒng)聚類算法在雷達(dá)信號(hào)分選中存在的一些問(wèn)題,提出了一種基于數(shù)據(jù)場(chǎng)聚類的信號(hào)分選算法。首先所有數(shù)據(jù)樣本經(jīng)過(guò)歸一化計(jì)算,根據(jù)數(shù)據(jù)場(chǎng)理論計(jì)算樣本的勢(shì)值,通過(guò)尋找極大值點(diǎn)及其個(gè)數(shù)確定初始聚類中心和聚類數(shù)目,之后重新計(jì)算聚類中心。通過(guò)對(duì)頻率捷變雷達(dá)的實(shí)驗(yàn)仿真,驗(yàn)證了算法的有效性。
[Abstract]:Aiming at some problems of traditional clustering algorithm in radar signal sorting, a signal sorting algorithm based on data field clustering is proposed. Firstly, all the data samples are normalized and the potential values of the samples are calculated according to the data field theory. The initial clustering center and the clustering number are determined by finding the maximum points and their numbers, and then the clustering centers are recalculated. The effectiveness of the algorithm is verified by the experimental simulation of frequency agile radar.
【作者單位】： 南京船舶雷達(dá)研究所;
【分類號(hào)】：TN957.51

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