分析了产生虚警的原因。
此时若采用理论的检测门限，将使虚警率大大增加。
Therefore, employing theoretical detection threshold will greatly increase the false alarm probability.
提出了一种新的雷达引信多门限频域恒虚警率检测算法。
A new multi-threshold frequency domain constant false alarm rate detection algorithm for radar fuse was presented.
实验结果表明，该方法能够有效地提取目标，减少虚警率。
Experiment result with real targets show that the method can detect the target effectively and reduce the false alarm probability.
给出了该算法的检测概率、虚警概率和平均捕获时间等公式。
The correct detection probability, false alarming probability and mean acquisition time of the proposed method was derived.
通过证据理论模块的信息融合，降低了虚警率，提高了检测率。
Through information fusion of the evidence theory module, false positives are decreased and the detection rate is improved.
文中分析了在白高斯随机噪声情况下，系统的虚警概率和捕获概率。
Propabilities of false alarm and acquisition of the system in white gaussian noise are discussed.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
CFAR detection of radar targets in heavy clutter background is an important part in radar signal processing.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
CFAR detection of radar targets in heavy clutter background is an important unit in radar signal processing.
然后提出自适应门限杂波图恒虚警处理器及相干杂波图恒虚警处理器。
Then the adaptive threshold clutter map CFAR processor and coherent clutter map CFAR processor are suggested.
提出一种新的基于有序统计的恒虚警检测器和一种新的自动筛选技术。
This paper presents a new CFAR detector based on ordered statistic and a new automatic censoring technique.
这种新的检测器是广义有序统计单元平均（GOSCA）恒虚警算法。
This new detector is a generalized ordered statistic cell averaging (GOSCA )CFAR processpr.
雷达信号的恒虚警率(CFAR)处理是现代雷达信号处理的重要内容。
The constant false alarm rate (CFAR) processing of radar signal is an important item of modern radar signal processing.
分析了最小二乘法使用的方程数、信噪比和虚警概率对检测概率的影响。
The influence of the ratio of signal to noise, probability of false alarm, and the number of equations on detection probability was analyzed.
分析了有限的参考单元数对虚警性能的影响，并给出了修正的门限系数。
The influence of finite range cells on false alarm performance is also analyzed and the modified threshold coefficients are given.
研究结果证明该算法在均匀杂波环境和局部均匀杂波环境都有恒虚警的性质。
The proposed detection algorithm ensures the constant false alarm rate (CFAR) in homogeneous and partially-homogeneous clutter background.
多元相关探测技术在具有很好的探测灵敏度的同时，兼顾保证了极低的虚警率。
The multielement interrelated detection technique is of maximum detection sensitivity and minimum false alarm rate by the correlation function.
文中研究有序统计平均(osca)恒虚警检测器在K分布杂波边缘中的性能。
The performance of ordered statistic with cell averaging (OSCA) CFAR detector under K-distribution clutter edge situation was studied.
在给定雷达的检测概率和虚警概率后，系统输出信噪比直接影响雷达的作用距离。
Given detection probability and false alarm time of a radar, the system output SNR would affect the radar's effective rang directly.
结果证明：系统有高灵敏度、高正确鉴别率、极低虚警率和运行正确稳定的特点。
The results proved that: this system have high sensitivity, satisfactory discrimination results, correct and stable operation feature, and with negligible false alarm rate.
对于网络中存在的节点瞬时故障，通过时间冗余的检测方法，降低故障诊断的虚警率。
Time redundancy is used to reduce faulty alarm rate for transient faults of nodes in WSNs.
仿真实验表明，该检测方法能在低信噪比环境中，以低虚警率对低速目标进行有效检测。
The simulation results show that the proposed method succeeds in detecting low speed target with low false alarm probability in low signal to noise ratio environment.
本文阐述了极性采样倒相编码数字脉冲压缩处理器的非参量恒虚警率（CFAR）特性。
The nonparametric constant false alarm rate (CFAR) property of digital polarity sampled phase reversal coded pulse compressors is described.
仿真分析表明，二项分布和泊松分布均可以在低虚警概率下较好地描述海尖峰的统计特性。
The results indicate that both binomial distribution and Poisson distribution well fit the statistic characteristics of sea spike under lower false-alarm probability.
再利用恒虚警、脉冲积累等技术可以在一定程度上解决前面提到的不可分辨目标的检测问题。
Then, using the stationary false alarm and pulse accumulation technique could solve the detection problem of unresolved targets in a certain extent.
对这种新的恒虚警算法在斯威林2型目标假设下，我们获得了虚警和探测概率的解析表达式。
For this new CFAR detector we obtain analytic expressions of the false alarm rate and detection probabilities un-der the Swerling 2 assumption.
结果表明：传感层反馈型BIT系统模型可以有效降低传感层输出数据的不确定性和虚警率。
The results show that the sensor level feedback BIT processing model can decrease the uncertainty of output data and FAR effectively.
结果表明：传感层反馈型BIT系统模型可以有效降低传感层输出数据的不确定性和虚警率。
The results show that the sensor level feedback BIT processing model can decrease the uncertainty of output data and FAR effectively.
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