汽车防刮蹭雷达中的MIMO反射波到达角估计方法
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上海大学 特种光纤与光接入网省部共建教育部重点实验室 上海 200072

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TN95

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Direction of arrival estimation method based on MIMO in automobile antiscratch radar
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Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China

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    摘要:

    汽车防刮蹭雷达旨在避免与前方车辆发生刮蹭事故。系统通过估计前车反射波到达角来估算两车间横向距离。主要讨论MIMO反射波到达角估计方法,已有的算法大多以点目标为前提。汽车防刮蹭雷达中,目标的空间特性不能忽略,此时基于点目标假设的估计算法性能会严重恶化,故需要用分布式目标模型对前方车辆进行完整的描述。现有的分布式目标角度参数估计方法复杂度高,针对该问题,提出基于分布式目标模型的Capon波束形成估计算法。算法对反射波的中心角度以及角度扩展进行估计,并且假设前方车辆尾部宽度已知,估算出两车间横向距离。理论分析和仿真分析表明,算法有效地降低了复杂度,并具有良好的估计性能。

    Abstract:

    Automobile antiscratch radar is designed to avoid scratches with the front car. The radar system estimates the cross range between two cars by estimating DOA of the wave reflected by front car. In our radar system, the front car is described by a distributed source model as algorithms based on the assumption of the point source model will seriously deteriorate. We propose an algorithm that estimates the central angle and angular extension of distributed sources in MIMO system unlike most existing algorithms which are on the assumption of point source model. Assuming that the car width is known, we are able to estimate the cross range between two cars. Theoretical analysis and computer simulation show that this method is not only effective but also has good estimation accuracy.

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彭章友,朱晶华,马骁颖,张钟浩.汽车防刮蹭雷达中的MIMO反射波到达角估计方法[J].电子测量技术,2017,40(9):99-103

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  • 在线发布日期: 2017-11-22
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