Two new methods are developed for blind estimation for long-code chaotic spread spectrum sequence.
针对长码实值混沌直扩系统，提出了两种盲解扩算法。
Chaos masking, chaotic parameter modulation, chaos shift keying, chaotic spread spectrum sequence are discussed in detail.
其中重点分析了混沌掩盖技术，混沌参数调制技术，混沌键控技术和混沌扩频技术的原理。
Therefore, researching particle filtering techniques and its applications in the chaotic spread spectrum DS-CDMA system has great theoretical and practical significance.
因此，开展对粒子滤波技术及其在混沌扩频DS - CD MA通信系统中的应用的研究具有重要的理论与现实意义。
A new method of blind estimation for short-code chaotic spread spectrum sequence is proposed, which is based on principal component analysis (PCA) and has good performance at low SNR condition.
针对短码实值混沌直扩系统，提出了一种基于主元分析的算法，实现了在低信噪比下对直扩序列的盲估计。
Experimental results show that this scheme can generate much more spread-spectrum sequences than single chaotic map to satisfy the demand of spread-spectrum communication.
计算机仿真结果表明，该模型产生的混沌扩频序列调整更容易，比基于单一混沌映射能产生更多符合扩频通信要求的扩频序列。
The performance of chaotic spread-spectrum communication systems can be improved by employing these formulas.
利用这些结果可有效提高混沌扩频通信系统的性能。
Afterward, we can gain spread spectrum sequence by sampling and quantizing the analog chaotic signals.
对输出的模拟混沌信号进行过采样和最优量化，可得到性能优良的扩频序列。
Chaotic direct sequence spread spectrum (CD3S) signal is more nonlinear and more complex than the conventional direct sequence spread spectrum signal.
与传统直扩序列相比，混沌扩频序列具有非线性复杂度较高的优点，该优点同时也是盲估计混沌扩频序列的难点。
Chaotic direct sequence spread spectrum (CD3S) signal is more nonlinear and more complex than the conventional direct sequence spread spectrum signal.
与传统直扩序列相比，混沌扩频序列具有非线性复杂度较高的优点，该优点同时也是盲估计混沌扩频序列的难点。
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