量化位数

奈曼-皮尔逊准则下传感器量化位数间的关系

Relationships among Quantization Bits of Sensors under N-P Criterion

在分布式检测系统中，对于融合中心采用软判决融合的情况，大多数研究都假定各传感器的量化位数相同，而没有考虑各传感器量化位数之间的关系。

Most researches assume that the quantization bits of all sensors are identical for distributed detection system adopting soft decision fusion , and ignore the relationships among them .

量化位数对GPS转发干扰的影响研究

Researchs in Bit Influence on GPS Repeater Jamming

应用ADC要注意它的采样率和量化位数。

In the application of ADC , it should be careful with its sampling rate and resolution .

实验结果表明，得到的检测器能够对DRFM量化位数较低的距离欺骗干扰实现正确检测。

The results show that the detectors can rightly detect the RGPO signal when the number of quantization bits of DRFM is small .

研究了基于DDFS的脉冲压缩信号产生，建立了比较完善的系统误差模型，分析了DDFS的相位截断和量化位数杂散误差以及模拟线性正交调制器三种误差。

The pulse compression signal generation system based on DDFS structure is investigated , and the error models of system are made . The errors of phase truncation , digit quantified and three errors coming from analog quadrature modulators are analyzed .

通过仿真，验证了在相同的量化位数下，相对于传统的系数量化方法，增加了整个滤波器组的阻带衰减。

Simulation showed that the novel optimal quantization method has obvious advantages over the conventional quantization method in the sense of out-of-band attenuation .

结果表明，系数量化位数高于信号量化位数2～4位就已足够。

The result shows that the quantized bit for coefficients is sufficient to be 2-4 times larger than the bit of sampled data in binary .

由于假目标的叠加会引起D/A量化位数的溢出，因而本文还通过具体的仿真实验，研究了量化和限幅对假目标干扰像的影响；

Since the false target jamming will cause D / A converter overflowing , the thesis also studies the influence to false target jamming profile by D / A quantizing and amplitude limiting .

得出结论为：A／D转换器的量化比特位数应为12-17位，最小采样频率应为22GS／s。

As a result , the quantization bit rate of 12 - 17 bits in an A / D converter , and the sampling frequency of 22 GS / s are required .

采用计算机仿真方法对由于D/A变换幅度量化引起的性能变化进行了分析，表明当D/A变换器位数接近于相位量化位数时就可以获得满意的效果。

By means of the computer simulation , the performance changes caused by the D / A convert amplitude quantization are also analyzed . Simulation analysis shows that the results are satisfactory when the bit of amplitude quantization is close to that of the phase quantization .

传统的奈奎斯特模数转换器要求模拟电路具有高精度。相反，过采样ADC利用过采样技术，降低基带中量化噪声的功率，提高内部通带的信噪比，实现使转换器增加有效量化位数的目标。

Conventional Nyquist Analog-to-digital converters require precise analog circuits . In contrast , oversampling converters use oversampling technique , make the quantization noise power small in baseband , increase the SNR in baseband and achieve the more ENOB .

过采样ADC通过过采样技术，将基带中的量化噪声功率降低（特别是当采样频率比基带频率大很多时），提高了基带内的信噪比，达到了增加转换器的有效量化位数的目的。

Over-sampling ADCs reduce quantization noise power in the baseband ( Especially when sampling frequency is greatly larger than baseband frequency ), and improve the base-band signal to noise ratio , to increase the resolution of the converter .