Randomized Spectral Separation Coefficient for Short Code Acquisition Performance Evaluation
نویسندگان
چکیده
Reliable signal acquisition with low computational complexity is an important design objective for the evolution of global navigation satellite systems (GNSS). Most GNSS signals consist long pseudorandom noise (PRN) codes whose expensive in terms memory, computation time, and energy. As these resources are particularly scarce emerging mass-market user segment, cyclostationary pilot short PRN attractive option to keep number search bins low. However, reducing code length degrades performance, as multiple access interference (MAI) becomes more pronounced can lead increased false alarm rate. We demonstrate that, quite different from stationary MAI, MAI does not affect each bin space uniformly, therefore easily modeled well-known spectral separation coefficient (SSC). propose a new randomized SSC (SSC-R) based on code/Doppler functions, which be used simple accurate performance evaluation. As application example, we how SSC-R utilized to minimize under constraint. We conclude that feasible lengths order 300-700.
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ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 2021
ISSN: ['1557-9603', '0018-9251', '2371-9877']
DOI: https://doi.org/10.1109/taes.2021.3126371