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基于變步長(cháng)算法的航天測控雷達多站跟蹤技術(shù)研究
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中國西昌衛星發(fā)射中心技術(shù)部

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Research on Multi-station Tracking Technology of TT&C Radar base on variable step size algorithm
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    摘要:

    徑向速度作為現代雷達測量目標特征的重要參量,提高對其的精確測量能力是目前航天測控領(lǐng)域重要的研究方向之一。實(shí)際上一臺單脈沖雷達通常綜合測距、速、角等功能,選取的重復頻率不足以使雷達測速無(wú)模糊,因此必須進(jìn)行解速度模糊操作。基于不變量嵌入法的解速度模糊技術(shù)更加成熟但解模糊的時(shí)間相對較長(cháng)。變重復頻率法能夠有效的解速度模糊以獲取精確值,但通過(guò)實(shí)驗證明其進(jìn)行的變頻率操作與航天發(fā)射領(lǐng)域普遍運用的多站工作模式要求不相符,容易造成信號阻塞導致解速度模糊失敗。在傳統譜峰搜索方法基礎上改進(jìn)的變步長(cháng)譜峰搜索方法通過(guò)區域搜索,改變檢索步長(cháng)的方式,在單站工作模式下檢索7次獲取譜峰所在區域,并利用頻譜偶對稱(chēng)性質(zhì)有效減少系統噪聲的影響,極大的提升了解速度模糊效率和精度。在多站工作的模式下變步長(cháng)搜索算法比傳統搜索算法更具優(yōu)勢。

    Abstract:

    Radial velocity is an important parameter for modern radar to measure target characteristics, and improving its accurate measurement capability is one of the important research directions in the field of aerospace measurement and control. In fact, a monopulse radar usually integrates the functions of distance , speed, angle measurement. The selected repetition frequency is not enough to make the radar speed measurement without ambiguity, so the resolving velocity ambiguity must be performed. The resolving velocity ambiguity method based on the invariant embedding method is more mature, but the defuzzification time is relatively long. The variable repetition frequency method can effectively solve the velocity ambiguity to obtain accurate values, but it is proved by experiments that the variable frequency operation does not meet the requirements of the multi-station working mode commonly used in space launch sites, and it is easy to cause signal blockage and lead to the failure of velocity ambiguity resolution. On the basis of the traditional spectral peak search method, the improved variable-step spectral peak search method changes the search step size through regional search, searches seven times in the single-station working mode to obtain the region where the spectral peak is located, and uses the even symmetry property of the spectrum to effectively Reduce the impact of system noise, greatly improve the speed of understanding, fuzzy efficiency and accuracy. The variable-step search algorithm has more advantages than the traditional search algorithm in the mode of multi-station operation.

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鄭浩榮,蔡紅維,張瀚,羅昊,王康.基于變步長(cháng)算法的航天測控雷達多站跟蹤技術(shù)研究計算機測量與控制[J].,2022,30(10):33-38.

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歷史
  • 收稿日期:2022-04-29
  • 最后修改日期:2022-06-15
  • 錄用日期:2022-06-16
  • 在線(xiàn)發(fā)布日期: 2022-11-01
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