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直接序列扩频(DSSS）通过将数据与伪随机序列进行调制，从而实现数据频谱的扩展。伪随机序列性能影响系统的抗干扰能力、用户容量、同步速度、误码率及安全性，是通信与导航系统设计的核心要素之一。针对伪随机序列的平衡性、随机性、复杂度以及自/互相关性等核心指标，提出以双极性累加、扑克检验与Lempel-Ziv复杂度为约束的伪随机序列优选方法，并以自/互相关旁瓣峰值与均方根值为准则判断序列相关性能的优劣。通过Gold序列和Weil序列验证了所提优选方法的有效性，为伪随机序列的优选提供一种新的途径。
Abstract：Direct sequence spread spectrum(DSSS) modulates data with pseudo-random sequences to achieve data spectrum expansion. The performance of pseudo-random sequence affects the anti-interference ability, user capacity, synchronization speed, bit error rate and security of the system, which is one of the core elements of communication and navigation system design. Aiming at the core indexes of pseudo-random sequences, such as balance, randomness, complexity and self/cross-correlation, an optimization method of pseudo-random sequences is proposed, which is constrained by bipolar accumulation, poker test and Lempel Ziv complexity. The correlation performance of sequences is judged by the peak value of auto/cross-correlation sidelobe and root mean square(RMS) value. The effectiveness of the proposed optimization method is verified by Gold sequence and Weil sequence, which provides a new way for the optimization of pseudo-random sequences.
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基本信息:
DOI：10.13875/j.issn.1674-0637.2025-04-0329-10
中图分类号:TN914.42
引用信息:
[1]张傲,何在民,广伟,等.多指标约束的伪随机序列优选方法[J].时间频率学报,2025,48(04):329-338.DOI:10.13875/j.issn.1674-0637.2025-04-0329-10.
基金信息:
国家自然科学基金（12403078）