A New Class of Z-Complementary Pairs and Their Application in Channel Estimation for Mountainous Terrain

Mountaionus terrain with moderate-to-heavy tree densities generally falls under maximum path loss category, during signal strength prediction and simulation in macrocellular environment. Traditional path loss models like Hata-Okumura model etc. are not suitable for hilly terrain with moderate-to-heavy tree densities. Recently, replecating the actual terrain scenarios, various Stanford University interim (SUI) channel models are proposed. The contribution of this work are two fold. First, we propose a modified least square (LS) algorithm which can efficiently estimate the channel model SUI-6. Secondly, to satisfy the required conditions of the proposed modified LS algorithm, we propose a new class of Z-complementary pairs (ZCPs). Numerical simulations ensure the efficacy of the proposed ZCPs under modified LS algorithm.