A robust chaos radar for collision detection and vehicular ranging in intelligent transportation systems

V. Venkatasubramanian, H. Leung
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引用次数: 22

Abstract

This work presents a robust chaos radar system for collision detection and vehicular ranging in intelligent transportation systems (ITS). The robustness of the scheme lies in its multipath mitigation characteristics. By exploiting the spread spectrum (SS) nature of chaos, a high resolution radar system is designed. A cost effective receiver architecture for multipath mitigation in vehicular channel is proposed here. The receiver adaptively equalizes the vehicular multi-path channel minimizing a non-linear prediction error (MNPE) criteria. The MNPE receiver performance is derived to analyze its multi-path mitigation performance. Numerical simulations are performed to validate the theoretical results. The performance of the proposed radar is compared with the conventional direct sequence spread spectrum (DS-SS) ranging scheme. It is shown that the proposed chaos radar outperforms the conventional DS-SS ranging scheme in the vehicular multi-path environment.
用于智能交通系统中碰撞检测和车辆测距的鲁棒混沌雷达
本文提出了一种用于智能交通系统中碰撞检测和车辆测距的鲁棒混沌雷达系统。该方案的鲁棒性在于其多径抑制特性。利用混沌的扩频特性,设计了高分辨率雷达系统。提出了一种具有成本效益的车载信道多径抑制接收机结构。接收机自适应均衡车载多径信道,最小化非线性预测误差(MNPE)准则。推导了MNPE接收机的性能,分析了其多径缓解性能。通过数值模拟验证了理论结果。并与传统的直接序列扩频(DS-SS)测距方案进行了性能比较。仿真结果表明,该混沌雷达在车载多径环境下的测距性能优于传统的DS-SS测距方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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