随着雷达技术的飞速发展与快速应用，以及对目标信息精细化需求的提升，雷达带宽和数据量也越来越大，在一定程度上限制了雷达设备的进一步应用。为解决这一问题，单比特技术因其降低数据量的优势，正越来越受到重视。但是，单比特量化的高度非线性过程会带来频率交叉调制，使信号成分极大地复杂化，这将给雷达探测带来新的挑战。针对这一问题，从底层机理上对单比特量化的非线性过程进行深入剖析，从理论上推导明晰了单比特量化过程中的量化噪声的理论模型，并进一步分析了这一非线性过程对雷达探测的影响。
The rapid development and application of radar technology provide more and more convenient means for acquisition of target information and bring great convenience to the life of residents. At the same time, with the rise of the demand for target information refinement the bandwidth and data volume of radar are also increasing, which limits further application of radar equipment to a certain extent. To solve this problem, 1-bit quantization technology has received more and more attention because of its advantage of reducing the amount of data. However, the highly nonlinear process of 1-bit quantization brings about frequency inter-modulation and greatly complicates signal components, bringing new challenges to radar detection. This paper analyzes this problem and theoretically shows the model of quantization noise. Then, it analyzes how the non-linear effect affects the performance of target detection in the radar system. This gives a good theoretical reference for design of radar system based on 1-bit quantization.
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