基于累加分類(lèi)的ADS-B交織信號(hào)處理方法
[Abstract]:As the main monitoring technology of ICAO, broadcast automatic correlation surveillance has been paid more and more attention in recent years. More and more aircraft are equipped with ADS-B transceiver equipment. Because of the broadcasting system of ADS-B signal and the increasing of space traffic, the interleaving of different ADS-B signals is inevitable. The interleaving of signals will seriously affect the decoding of ADS-B signals, which will result in the error reading or loss of information. In response to the above problems, In this paper, a new algorithm of deinterleaving based on cumulative decision is proposed. Firstly, the starting position of the signal and the interleaving position of the signal are obtained by the effective pulse position detection under the single antenna and the interleaving detection based on Hilbert transform, respectively. Then the relative delay between the two signals is obtained, and then the data is accumulated and classified by K-means method. Finally, the result of bit decision is obtained to achieve the separation of interleaved signals. Compared with the existing deinterleaving algorithms, it is verified that the proposed algorithm has a good separation effect when there is a certain power difference between interleaved signals.
【作者單位】: 中國(guó)民航大學(xué)天津市智能信號(hào)與圖像處理重點(diǎn)實(shí)驗(yàn)室;
【基金】:國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2016YFB0502402)
【分類(lèi)號(hào)】:V355;TN911.7
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