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arXiv 2405.09443cs.ITeess.SPmath.IT
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采用OFDM波形的集成感知通信低复杂度联合方位-距离-速度估计

Low-Complexity Joint Azimuth-Range-Velocity Estimation for Integrated Sensing and Communication with OFDM Waveform

Jun Zhang, Gang Yang, Qibin Ye, Yixuan Huang, Su Hu

AI总结:

针对OFDM波形单基地ISAC系统JARVE计算复杂度高的问题,推导其克拉美罗界,提出结合迭代子空间更新与Levenberg-Marquardt优化的低复杂度超分辨率估计算法,相比3D-MUSIC和ESPRIT算法复杂度分别降3个、2个数量级且性能更优。

摘要:

集成感知与通信(ISAC)是第六代移动通信系统的主要应用场景。由于蜂窝系统中天线和子载波数量快速增长,ISAC系统中联合方位-距离-速度估计(JARVE)的计算复杂度极高。本文研究采用正交频分复用(OFDM)波形的单基地ISAC系统的JARVE问题,该系统中基站接收其发射的蜂窝OFDM信号的回波以感知多个目标。本文首先推导了JARVE的克拉美罗界(Cramer-Rao bounds)。进一步设计了一种用于超分辨率JARVE的低复杂度算法,该算法利用提出的迭代子空间更新方案和Levenberg-Marquardt优化方法,替代多信号分类(MUSIC)算法中空间谱的穷尽搜索。最后,采用5G新空口(New Radio)的实际参数进行仿真,结果验证了所提算法相比现有三维MUSIC算法和利用旋转不变技术的信号参数估计(ESPRIT)算法,计算复杂度分别降低了三个数量级和两个数量级,同时还提升了估计性能。

英文摘要:

Integrated sensing and communication (ISAC) is a main application scenario of the sixth-generation mobile communication systems. Due to the fast-growing number of antennas and subcarriers in cellular systems, the computational complexity of joint azimuth-range-velocity estimation (JARVE) in ISAC systems is extremely high. This paper studies the JARVE problem for a monostatic ISAC system with orthogonal frequency division multiplexing (OFDM) waveform, in which a base station receives the echos of its transmitted cellular OFDM signals to sense multiple targets. The Cramer-Rao bounds are first derived for JARVE. A low-complexity algorithm is further designed for super-resolution JARVE, which utilizes the proposed iterative subspace update scheme and Levenberg-Marquardt optimization method to replace the exhaustive search of spatial spectrum in multiple-signal-classification (MUSIC) algorithm. Finally, with the practical parameters of 5G New Radio, simulation results verify that the proposed algorithm can reduce the computational complexity by three orders of magnitude and two orders of magnitude compared to the existing three-dimensional MUSIC algorithm and estimation-of-signal-parameters-using-rotational-invariance-techniques (ESPRIT) algorithm, respectively, and also improve the estimation performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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