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作 者:宋青平[1] 余跃[1] 高军军[1] 苏飞[1] Song Qingping Yu Yue Gao Junjun Su Fei(Beijing Control and Electronic Technology Research Institute Information Systems Key Laboratory, Beijing 100038, China Engineering)
机构地区:[1]北京控制与电子技术研究所信息系统工程重点实验室,北京100038
出 处:《航天控制》2016年第6期72-78,共7页Aerospace Control
摘 要:针对航天测控通信的抗干扰问题,提出了一种改进的软扩频捕获及译码算法,基于自相关和互相关特性设计了具有强抗干扰能力的扩频前导序列,提高了信号捕获的灵敏度,并根据解扩后的相关值采用软判决译码方式提高了传输链路的可靠性。分析及仿真结果表明,本文算法在强干扰条件下依然有较高的信号捕获概率和较低的误码率,信号的捕获性能和误码率性能明显优于常规软扩频算法,能够满足航天测控抗干扰的实际应用。Regarding the anti-interference of aerospace telemetry, tracking, and control (TF&C), an improved tamed spread spectrum acquisition and decoding algorithm is proposed. A spread spectrum preamble sequence with strong anti-interference capability based on auto-correlated and cross-correlated properties is designed by using the proposed algorithm to improve the sensitivity of signal acquisition. Furthermore, a soft decision decoding method is proposed according to the correlation values after dispreading to improve the reliability of the transmission link. The analysis and simulation results show that the proposed algorithm still has a high signal acquisition probability and a low bit error rate (BER) even under strong interference conditions. The performance of the acquisition and BER of the new algorithm is significantly better than that of the conventional tamed spread spectrum algorithm, which can satisfy the practical application of the anti-interference of aerospace TT&C.
分 类 号:TN911.23[电子电信—通信与信息系统]
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