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Estimation of Modulation Parameters of LPI Radar Using Cyclostationary Method

机译：利用裂纹法测定LPI雷达调制参数

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摘要

Low Probability of intercept (LPI) radars work on the principle of low peak-power and wide bandwidth. To achieve this, the LPI radars use special type of modulated waveforms which are difficult to intercept. The main tasks of intercept receivers are to detect, estimate and classify LPI signals even in the presence of high noise. Accurate estimation of the modulation parameters also provides information about threat to radar so that necessary counter measures could be initiated against the enemy radars. In the present work, Cyclo-stationary (CS) method is used to estimate the parameters of Polytime coded LPI signals. CS method is efficient for the analysis of periodic waveforms like LPI signals and finds applications in many fields such as array signal processing, estimation of direction of arrival, signal detection. Cyclic auto correlation function and the spectral correlation density function (SCD) which are the basis for CS analysis are computed for all the four types of polytime codes. Generation of all the four types of Polytime codes and computation of SCD coefficients are carried out using MATLAB. From the contour plot of SCD function, the parameters carrier frequency, bandwidth and code rate are measured. It is assumed that the received signal is not corrupted with any noise. The simulation results are compared with the values available in the literature. The maximum error of estimation is well within ± 6% for all the codes in the proposed method whereas the maximum error reported in the literature is 25.7%. Hence the proposed method is better. Since CS method is sensitive to sampling frequency, the analysis is repeated for three different sampling frequencies and in all cases, the estimation error is less than 6%.
机译：低截距（LPI）雷达的概率在低峰值功率和宽带宽的原理上工作。为此，LPI雷达使用难以拦截的特殊类型的调制波形。即使在高噪声存在下，拦截接收器的主要任务是检测，估计和分类LPI信号。准确估计调制参数还提供有关雷达威胁的信息，因此可以针对敌人雷达启动必要的计数器措施。在本作本作中，使用Cyclo-instary（CS）方法来估计Polytime编码的LPI信号的参数。 CS方法对于分析LPI信号等周期波形的分析，并且在诸如阵列信号处理的许多领域中找到应用，到达方向的估计，信号检测。循环自动相关函数和频谱相关密度函数（SCD），其是CS分析的基础，用于所有四种类型的多时间代码。使用MATLAB生成所有四种类型的多限码和SCD系数的计算。从SCD函数的轮廓图，测量参数载波频率，带宽和码率。假设接收信号不会被任何噪声损坏。将仿真结果与文献中可用的值进行比较。所有代码的估计的最大误差在所提出的方法中的所有代码都在±6％内，而文献中报告的最大误差为25.7％。因此，所提出的方法更好。由于CS方法对采样频率敏感，因此对三种不同的采样频率重复分析，并且在所有情况下，估计误差小于6％。

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