This study investigates a variable window code-aided (VWCA) algorithm for narrowband interference (NBI) suppression. The original code-aided technique, which simultaneously suppresses NBI and multiple access interference in direct-sequence code division multiple access networks, encounters either high computational complexity when the processing gain of the desired user is extremely high or performance deterioration when the processing gain is extremely low. By performing minimum mean square error detection on the assumed virtual symbol, the VWCA algorithm is derived and a robust blind adaptive implementation of the proposed VWCA algorithm is further developed. In contrast to the original code-aided technique, the proposed VWCA algorithm can flexibly meet different performance, complexity, and convergence speed demands for NBI suppression by adjusting the processing window length. Computer simulation results are presented to demonstrate the effectiveness of the VWCA algorithm .
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This work was supported by the National Natural Science Foundation of China (61531009, 61271164, 61471108, 61201266, 61501093), the National Major Projects (2014ZX03003001-002), the Ministry of Education and China Mobile Research Foundation (MCM20130111), and 863 Project (2014AA01A704, 2014AA01A706, 2015AA01A701).
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Liu, F., Zhao, H. & Tang, Y. A Variable Window Code-Aided Algorithm for Interference Suppression in DSSS Systems. Wireless Pers Commun 88, 133–150 (2016). https://doi.org/10.1007/s11277-015-3077-8
- Narrowband interference
- Variable window code-aided