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面向子帶分解的非均勻抽取均衡算法
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上海大學(xué)通信與信息工程學(xué)院

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    摘要:

    寬帶數字陣列雷達通道失配嚴重的情況下,帶寬分割法相比逆傅里葉變換法均衡效果更好,但其在不完全分解時(shí)重建誤差較大且占用硬件資源過(guò)多。針對上述問(wèn)題,該文提出一種延長(cháng)帶寬非均勻抽取均衡算法。首先,設定需要劃分的子帶數目,根據阻帶截止頻率的位置合并不參與均衡的子帶;然后,根據待均衡子帶的頻率特性對其進(jìn)行非均勻抽取;最后,對抽取后的待均衡子帶實(shí)現均衡、插值和合并操作。仿真結果表明,在均衡子帶個(gè)數和重建誤差相等的情況下,相比帶寬分割法,提出方法的幅度改善因子和相位改善因子分別提高5.39 dB和7.48 dB,降低了運算復雜度和硬件資源占用率。

    Abstract:

    In the case of serious channel mismatch of wideband digital array radar, the band-partition method has a better equalization effect than the inverse Fourier transform method. However, the reconstruction error is significant, and the hardware resources required are excessive when the decomposition is incomplete. Aiming at the above problems, an extended bandwidth non-uniform extraction equalization algorithm is proposed in this paper. Firstly, the number of sub-bands to be divided is set, and sub-bands that do not participate in equalization are merged according to the position of stopband cutoff frequency. Then, non-uniform decimation is performed according to the frequency characteristics of the sub-bands to be equalized. Finally, the operations of equalization, interpolation, and merging are implemented for the sub-bands to be equalized after extraction.? The simulation results show that the amplitude improvement factor and phase improvement factor of the proposed method are 5.39 dB and 7.48 dB higher than that of the band-partition method when the number of equalized sub-bands and reconstruction error are equal, while reducing computational complexity and hardware resource usage.

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程昊,劉衛平,趙嬋娟,扆梓軒,張權.面向子帶分解的非均勻抽取均衡算法計算機測量與控制[J].,2024,32(7):260-266.

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  • 收稿日期:2024-01-05
  • 最后修改日期:2024-02-01
  • 錄用日期:2024-02-02
  • 在線(xiàn)發(fā)布日期: 2024-08-02
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