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For the IMT-advanced broadband mobile communication systems, an accurate broadband channel model is significant to the system design. However, the broadband channel impulse response (CIR) becomes sensitive to the complex propagation impacts of both specular path and diffuse dense path in a rich-scattering environment. We propose a cross-estimation (CE)-based channel modeling method by which the dense diffusion components can be identified independently and separated successfully from the overall CIR. As a result, the parameter estimation accuracy can be obviously improved, regardless of the complex diffusion impact in a rich scattering environment. Both theoretical derivation and experimental results are given to validate it based on the typical broadband channel measurement with 100 MHz bandwidth at 2.6 GHz in an urban hotspot scenario in Shanghai.
However, the broadband channel impulse response (CIR) becomes sensitive to the complex propagation impacts of both specular path and diffuse dense path in a rich -scattering environment. We propose a cross-estimation (CE) -based channel modeling method by which the dense diffusion components can be identified independently and separated successfully from the overall CIR. As a result, the parameter estimation accuracy can be obviously improved of the complex diffusion impact in a rich scattering environment. Both theoretical derivation and experimental results are given to validate it based on the typical broadband channel measurement with 100 MHz bandwidth at 2.6 GHz in an urban hotspot scenario in Shanghai.