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A subspace-based method for detection of spread-spectrum signals is described in this paper that is similar to superresolution algorithms such as MUSIC. Sample vectors of despread symbol data are collected over time to form a correlation matrix, which is decomposed using eigenvalue decomposition (EVD). When using linear phase modulation, the despread symbol data contains multipath peaks that are due...
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