基于ZYNQ的低成本汽车雷达信号处理架构
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摘要
毫米波雷达是ADAS和无人驾驶产业中的核心传感器之一。针对汽车行业对成本控制的要求,减少产品中的器件种类和数量,采用ZYNQ芯片自带的AXI总线模块和DDR控制模块来充分利用原有的DDR存储器,省去昂贵的SRAM存储器进行多通道二维FFT数据传输和处理。通过实际产品应用证明该架构在512乘以128点二维数据储存上花费的时间为6.2 ms,在满足实时处理要求的同时,减少了一档核心器件,节约了近10%的硬件成本。证明了该构架可以大幅增加产品的产业化竞争力。
Millimeter-wave radar is one of the core sensors in the ADAS industry and auto-drive vehicles. In response to the automotive industry's requirement for cost control and reducing the number and type of devices in the product,the AXI bus module and DDR control module provided with the ZYNQ chip are used to fully utilize the existing DDR memory,eliminating the need for expensive SRAM memory for multi-channel 2D-FFT data transmission and processing. The application of this architecture via product verifies that the whole period of processing and storing a"512 times 128"point FFT data takes 6.2ms. Which meets the real-time requirements while reducing the number of core devices and saving nearly 10% in hardware cost. This proves the framework can greatly increase the industrial competitiveness in automotive products.
Millimeter-wave radar is one of the core sensors in the ADAS industry and auto-drive vehicles. In response to the automotive industry's requirement for cost control and reducing the number and type of devices in the product,the AXI bus module and DDR control module provided with the ZYNQ chip are used to fully utilize the existing DDR memory,eliminating the need for expensive SRAM memory for multi-channel 2D-FFT data transmission and processing. The application of this architecture via product verifies that the whole period of processing and storing a"512 times 128"point FFT data takes 6.2ms. Which meets the real-time requirements while reducing the number of core devices and saving nearly 10% in hardware cost. This proves the framework can greatly increase the industrial competitiveness in automotive products.
引文
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[3] Mayuri Sanwatsarkar. Implementation of DDRSDRAM controller using verilog HDL[J]. IOSRJournal of Electronics and Communication Engi-neering,2015,10(2):69-74.
[4]王维平.基于FPGA的DDR控制器设计[J].长江大学学报,2012,8(2):90-95.
[5]王磊磊,朱思悦,张振强. 77GHz汽车防撞雷达多目标目标识别监控及危险预测技术[C].第四届航天科技技术应用创新论坛,2012.
[6]杨晓安,罗杰.基于Xilinx Zynq的物距测量系统设计与实现[J].现代电子技术,2014,37(15)123-127.
[7]李剑.优化的ARM总线AXI-AHB-APB架构[J].电子科学技术,2014,1(1):7-14.
[8]高志远,闫文宇.基于FPGA的同步器信号采集技术研究[J].电子设计工程,2015(22):133-135.
[9]陶凤,赵梗明.嵌入式汽车防撞系统的研究[J].上海师范大学学报,2016,45(4):442-449.
[10]刘贺,线性调频连续波雷达信号处理研究及数据分析[D].成都:西南交通大学,2013.
[11]刘文彬,朱名日,郑丹平,等.基于FPGA的二维FFT算法在LFMCW雷达信号处理中的应用[J].电子器件,2015,38(3)836-842.
[12]高丽洁,王刚.基于zynq的汽车雷达防撞数据采集系统设计[J].西南师范大学学报,2016,41(7):126-133.
[13]Louise H.Crockett,Ross A.Elliot,Martin A,et al.The Zynq Book[M].University of Strathclyde,2014.
[14]Xilinx Zynq-7000 All Programmable Soc Techni-cal Reference Manual[C],UG585,2015.
[15]马飞,刘琦.基于FPGA的AXI4总线时序设计与实现[J].嵌入式技术,2015,41(6)13-17.
[16]郑悦,毫米波汽车防撞雷达的设计与实现[D].无锡:江苏大学,2010.
[17]陈家雨.车用控制器数字量端口的可配置的实现[J].电子设计工程,2017(17):97-101.
[18]V.N.M.Brahmanandam K. Design of burst basedtransactions in AMBAAXI protocol for SoC integra-tion[J].International Journal of Scientific&Engi-neering Research,2012,3(7):1-7.