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1)  multipath diversity
多径分集
2)  multipath-Doppler diversity
多径-多谱勒分集
3)  Multipath receive diversity
多径分集接收
4)  space-multipath diversity
空间-多径分集
1.
The proposed algorithm provides performance close to that of the ML differential detection,that is,both can achieve maximum space-multipath diversity,but the proposed algorithm offers a lower decoding complexity.
该方法可以获得与传统ML译码方法相近的性能,即都获得了最大空间-多径分集增益,而译码复杂度却大大降低。
5)  dense multipath
密集多径
1.
Simulation results indicate that the algorithm is able to increase the energy captured in the dense multipath channel and reduce considerably implementation complexity and acquisition time,which can be applied flexibly.
仿真结果表明该算法能够有效地捕获密集多径信道下极窄脉冲的能量,并且降低了运算复杂度和同步捕获时间,应用十分灵活。
2.
In ultra-wideband(UWB) indoor dense multipath environments,traditional coherent Rake receiver requires channel estimation.
在超宽带(Ultra-Wideband或Ultra-Wide bandwidth,简称UWB)室内密集多径的传输环境下,传统的Rake接收机在分集接收时需要进行信道参数估计。
6)  multipath component
多径分量
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