面向车联网的认知雷达通信复合波形设计

doi:10.11959/j.issn.2096-3750.2021.00232

物联网学报 ›› 2021, Vol. 5 ›› Issue (4): 71-80.doi: 10.11959/j.issn.2096-3750.2021.00232

面向车联网的认知雷达通信复合波形设计

姚誉¹, 李妍洁¹, 吴乐南², 苗圃³, 唐小渝¹

¹ 华东交通大学信息工程学院，江西南昌 330031
² 东南大学信息科学与工程学院，江苏南京 210096
³ 青岛大学，山东青岛 266000

修回日期:2021-11-22 出版日期:2021-12-30 发布日期:2021-12-01
作者简介:姚誉（1986− ），男，博士，华东交通大学信息工程学院副教授，主要研究方向为车联网、雷达通信网、优化算法、智能信号处理等
李妍洁（1985− ），女，华东交通大学信息工程学院硕士生，主要研究方向为车联网、最优化理论、智能信号处理等
吴乐南（1952− ），男，东南大学信息科学与工程学院教授，主要研究方向为物联网技术、车联网、多媒体信息处理、信号检测与估计等
苗圃（1985− ），男，青岛大学讲师，主要研究方向为物联网技术、车联网、最优化理论、信号检测与估计等
唐小渝（1999− ），女，华东交通大学信息工程学院在读，主要研究方向为车联网、最优化理论、智能信号处理等
基金资助:
国家自然科学基金资助项目(61761019)

Cognitive waveform design for radar-communication transceiver networks

Yu YAO¹, Yanjie LI¹, Lenan WU², Pu MIAO³, Xiaoyu TANG¹

¹ School of Information Engineering, East China Jiaotong University, Nanchang 330031, China
² School of Information Science and Engineering, Southeast University, Nanjing 210096, China
³ Qingdao University, Qingdao 266000, China

Revised:2021-11-22 Online:2021-12-30 Published:2021-12-01
Supported by:
The National Natural Science Foundation of China(61761019)

摘要/Abstract

摘要：

介绍了认知雷达通信（CRC）收发器的系统架构，提出了一种认知雷达通信复合波形的设计方法。此方法旨在从雷达场景中估计目标散射系数（TSC），同时实现高速率数据通信。为了降低TSC的均方误差（MSE），建立了在实际雷达系统多约束条件下的认知复合波形优化模型。通过基于卡尔曼滤波的方法设计超宽带（UWB）传输脉冲集，并利用多元位置相移键控调制技术（MPPSK）将信息数据嵌入其中，从而实现峰均功率比（PAPR）约束的最佳解决方案。实验结果证明，随着迭代次数的增加，TSC 估计和目标检测概率均有所提高。同时，在CRC收发系统之间仍能够以低误码率和速率为几Mbit/s的范围内传输数据。

关键词: 雷达通信网, 目标检测, 超宽带, 车联网, 认知波形设计

Abstract:

The system architecture for cognitive radar-communication (CRC) transceiver was proposed.A cognitive waveforms design approach, which is suitable for simultaneously performing both data communication and target detection was presented.This approach aims at estimating target scattering coefficient (TSC) from the radar scene and facilitating high-data-rate communications.In order to minimize the mean square error (MSE) of the TSC, a convex cost function was established.The peak to average power ratio (PAPR)-constrained optimal solution was achieved by applying the Kalman filtering-based strategy to design the set of ultra-wideband (UWB) transmission pulses and embed into them the information data with the M-ary position phase shift keying modulation technique.In addition to theoretical considerations, the simulation results show an improvement in TSC estimation and target detection probability as the number of iterations increases, while still transmitting data rates in the range of several Mbit/s with low bit error rates between CRC transceivers.

Key words: radar communication network, target detection, UWB, Internet of vehicles, cognitive waveform design

中图分类号:

TN951

姚誉, 李妍洁, 吴乐南, 苗圃, 唐小渝. 面向车联网的认知雷达通信复合波形设计[J]. 物联网学报, 2021, 5(4): 71-80.

Yu YAO, Yanjie LI, Lenan WU, Pu MIAO, Xiaoyu TANG. Cognitive waveform design for radar-communication transceiver networks[J]. Chinese Journal on Internet of Things, 2021, 5(4): 71-80.

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	仿真参数
E_s	发射功率	1
ASNR	平均信噪比	8 dB
τ	时间相关系数	0.1 s
M_t	脉冲间隔	1 ms
p _fa	虚警概率	0.05
p_d	检测概率	0.95
PAPR	峰均比	3 dB
f_s	采样频率	10 GHz
f_c	UWB中心频率	3 GHz

面向车联网的认知雷达通信复合波形设计

Cognitive waveform design for radar-communication transceiver networks

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