中文摘要：

混沌信号检测是混沌扩频通信系统同步和系统辨识的主要问题。首先基于混沌信号的最小相空间（MPSV）特性,构建了一种新的混沌扩频序列线性映射生成方法;进而提出了一种最小比特相空间（MBPSV）测度。引入数字调制、信道的记忆非线性失真和高斯加性噪声,计算了混沌扩频接收机中频信号的MBPSV测度。对比分析了3种形式MBPSV测度检测接收信号的有效性和鲁棒性。结果表明：乘积项累加形式在低信噪比下优于扩展向量累加与直接累加;数字调制与非线性失真对测度干扰趋于零;可用于混沌通信信号检测与系统辨识。

英文摘要：

The chaotic signal detection is the main focusin synchronization and system identificationof chaot- ic sequence spread-spectrum communication system. Firstly, based on Minimum Phase Space Volume （MPSV） characteristic, a novel linear mapping generation approach to chaotic spread-spectrum sequences- wasbuilt andaMinimum Bit Phase Space Volume（MBPSV） measurement wasfurther proposed. In order to compare the efficiency and robustness of chaotic spread-spectrum signal detection in three Mt3PSV meas- urement forms,the MBPSV of IF signals in chaotic spreading receiver wascalculated with digital modula- tion, nonlinear distortion and Gaussian additive noise. The simulation results indicated that the form of product accumulation is superior to bothextended vector accumulationanddirect accumulation in low Single- Noise Ratio（SNR）,also the jamming of digital modulation and nonlinear distortionis tended to zero. Itis pretty convincing thatthe proposed measurementcan be appliedto chaotic signal detection and system identi- fication.