Fast acquisition of weak eLoran signals via a uniform partitioned overlap-save algorithm exploiting temporal sparsity
Junliang Liu
Enhanced Loran (eLoran) provides resilient, wide-area positioning, navigation, and timing (PNT) services in the low-frequency band. However, receiver acquisition remains computationally demanding because of the long group repetition intervals (GRIs) and high sampling rates required for signal processing. Although the uniform partitioned overlap-save (UPOLS) algorithm has potential for matched filtering, its application to eLoran acquisition has not yet been explored. In this study, we propose th
