面向低空经济超可靠低时延通信的信道估计研究进展OA

As a strategic emerging industry,the development of the low-altitude economy is highly dependent on ultra-reliable and low-latency communication(URLLC)technology.Channel estimation,as a prerequisite for achieving ultra-high reliability at the physical layer of URLLC,faces severe challenges posed by the high dynamic and non-stationarity of low-altitude channels,as well as the short-packet transmission characteristics of URLLC.Therefore,this paper systematically reviews the research progress in channel estimation for URLLC in the low-altitude economy.Firstly,the particularities of low-altitude communication systems and channel models are elaborated,clarifying the core design principle of seeking the optimal trade-off between pilot overhead,estimation accuracy,and computational complexity under extreme latency and reliability constraints.Secondly,the existing technologies are comprehensively compared and analyzed from four dimensions:prior information acquisition,compressed sensing,tensor decomposition,and deep learning.Finally,current challenges are identified,including the contradiction between computational complexity and real-time requirements,insufficient tracking capability for non-stationary channels,and sensitivity to non-ideal factors,and future development trends under emerging architectures are discussed,such as the combination of multimodal and generative learning,integrated sensing and communication and massive multiple-input multiple-output.