基于相鄰互相關(guān)函數(shù)-參數(shù)化中心頻率-調(diào)頻率分布-Keystone變換的無(wú)源雷達(dá)機(jī)動(dòng)目標(biāo)相參積累方法

趙勇勝; 胡德秀; 劉智鑫; 趙擁軍; 趙闖

doi:10.11999/JEIT180858

基于相鄰互相關(guān)函數(shù)-參數(shù)化中心頻率-調(diào)頻率分布-Keystone變換的無(wú)源雷達(dá)機(jī)動(dòng)目標(biāo)相參積累方法

doi: 10.11999/JEIT180858

解放軍戰(zhàn)略支援部隊(duì)信息工程大學(xué)數(shù)據(jù)與目標(biāo)工程學(xué)院鄭州 ??450001

基金項(xiàng)目: 國(guó)家自然科學(xué)基金(61703433)

詳細(xì)信息

作者簡(jiǎn)介:
趙勇勝：男，1990年生，博士生，研究方向?yàn)闊o(wú)源雷達(dá)信號(hào)處理

胡德秀：男，1983年生，講師，研究方向?yàn)闊o(wú)源定位、信號(hào)分析與處理

劉智鑫：男，1991年生，博士生，研究方向?yàn)檩椛湓炊ㄎ?、電子偵察?/p>
趙擁軍：男，1964年生，教授、博士生導(dǎo)師，研究方向?yàn)槔走_(dá)信號(hào)處理

趙闖：男，1978年生，副教授，研究方向?yàn)槔走_(dá)信號(hào)處理

通訊作者:
胡德秀　paper_hdx@126.com

中圖分類(lèi)號(hào): TN971
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出版歷程
- 收稿日期: 2018-09-03
- 修回日期: 2019-08-01
- 網(wǎng)絡(luò)出版日期: 2019-08-21
- 刊出日期: 2019-10-01

Coherent Integration Algorithm Based on Adjacent Cross Correlation Function-Parameterized Centroid Frequency-Chirp Rate Distribution -Keystone Transform for Maneuvering Target in Passive Radar

School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Funds: The National Natural Science Foundation of China (61703433)

摘要

摘要: 延長(zhǎng)積累時(shí)間可以有效提高無(wú)源雷達(dá)的目標(biāo)探測(cè)能力，但是對(duì)于高速機(jī)動(dòng)目標(biāo)，其速度、加速度、第二加速度等因素導(dǎo)致現(xiàn)有的檢測(cè)算法在積累過(guò)程中發(fā)生距離徙動(dòng)(RM)和多普勒頻率徙動(dòng)(DFM)，使得目標(biāo)檢測(cè)性能惡化。該文針對(duì)無(wú)源雷達(dá)中變加速運(yùn)動(dòng)目標(biāo)的長(zhǎng)時(shí)間相參積累問(wèn)題，提出一種基于相鄰互相關(guān)函數(shù)(ACCF)-參數(shù)化中心頻率-調(diào)頻率分布(PCFCRD)-Keystone變換(KT)的相參積累算法(ACCF-PCFCRD-KT)。首先給出無(wú)源雷達(dá)中變加速運(yùn)動(dòng)目標(biāo)的回波模型，分析了目標(biāo)速度、加速度和第二加速度對(duì)相參積累的影響。針對(duì)目標(biāo)第二加速度引起的多普勒頻率彎曲，采用ACCF降低了距離和多普勒頻率徙動(dòng)的階數(shù)，而后利用PCFCRD估計(jì)出目標(biāo)加速度和第二加速度參數(shù)，在補(bǔ)償了目標(biāo)加速度和第二加速度引起的2次和3次徙動(dòng)后，利用KT校正目標(biāo)速度引起的線性徙動(dòng)，并實(shí)現(xiàn)目標(biāo)回波的積累。仿真結(jié)果表明，該算法可有效補(bǔ)償無(wú)源雷達(dá)中目標(biāo)運(yùn)動(dòng)導(dǎo)致的RM和DFM，對(duì)變加速機(jī)動(dòng)目標(biāo)的積累效果顯著優(yōu)于現(xiàn)有算法。
- 無(wú)源雷達(dá) /
- 相參積累 /
- 機(jī)動(dòng)目標(biāo) /
- 相鄰互相關(guān)函數(shù) /
- 參數(shù)化中心頻率調(diào)頻斜率分布 /
- Keystone變換
Abstract: Increasing the integration time can effectively improve the detection performance of passive radar. However, for maneuvering targets, the complex motions, such as high velocity, acceleration and jerk, cause existing detection methods to suffer the Range Migration (RM) and Doppler Frequency Migration (DFM) during the integration time, which deteriorates the detection performance. This paper addresses the long time coherent integration for a maneuvering target with high-order motion (e.g., jerk motion) in passive radar systems. A method based on Adjacent Cross Correlation Function (ACCF), Parameterized Centroid Frequency-Chirp Rate Distribution (PCFCRD) and Keystone Transform (KT)(ACCF-PCFCRD-KT), is proposed. Firstly, the signal model for the maneuvering targets is given, and the influence of the target velocity, acceleration and jerk on the coherent integration is analyzed. For the Doppler curvature induced by the jerk motion, the ACCF is firstly applied to reducing the order of RM and DFM. Then the PCFCRD operation is employed to estimate the acceleration and jerk parameters. After compensating the RM and DFM caused by the acceleration and jerk, the RM arising from the velocity is corrected via the KT operation and the target echo energy is coherently integrated. Simulation results demonstrate that the proposed method can effectively compensate the RM and DFM caused by the target motion parameters in passive radar, and for a maneuvering target with jerk motion, the proposed method achieves better integration performance over the existing methods.
- Passive radar /
- Coherent integration /
- Maneuvering target /
- Adjacent Cross Correlation Function (ACCF) /
- Parameterized Centroid Frequency-Chirp Rate Distribution (PCFCRD) /
- Keystone Transform (KT)

HTML全文

圖 1 雙基地?zé)o源雷達(dá)目標(biāo)運(yùn)動(dòng)示意圖

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圖 2 本文算法對(duì)回波積累效果

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圖 3 不同算法回波積累效果比較

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圖 4 不同算法的檢測(cè)性能曲線(${P_{\rm f}} = {10^{ - 4}}$)

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