Description: ％ This program calculates radar ranges in a jamming environment. It works
％ with both Stand-off jamming and self-screening jamming for steady and Swerling type
％ targets with frequency agility, coherent integration and standard atmosphere/rain
％ attenuation Platform: |
Size: 5582 |
Author:hexin |
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Description: ％ This program calculates radar ranges in a jamming environment. It works
％ with both Stand-off jamming and self-screening jamming for steady and Swerling type
％ targets with frequency agility, coherent integration and standard atmosphere/rain
％ attenuation- This program calculates radar ranges in a jamming environment. It works with both Stand-off jamming and self-screening jamming for steady and Swerling type targets with frequency agility, coherent integration and standard atmosphere/rain attenuation Platform: |
Size: 5120 |
Author:hexin |
Hits:
Description: 使用维纳分布进行瞬时频率估计用来校正电离层非线性相位污染带来的频带展宽-High-frequency (HF) sky-wave radar
signals propagate to and from the target by means
of the ionosphere. The difficulty in obtaining very
narrow beamwidths at HF, and the long ranges
involved, mean that the signal backscattered from
the ground is often several orders of magnitude
greater than the target echo. To resolve the target,
coherent signal processing techniques are necessary,
detecting the target echo by virtue of the
Doppler shift caused by the target’s radial velocity.
Unfortunately, movement of the ionospheric
layer by which the radar signal has propagated
often causes the clutter spectrum and target to
spread in the frequency domain, rendering
extended coherent integration pointless. The
movement of the ionosphere can be regarded as
producing frequency modulation of the radar
signal, and thus if this modulation can be estimated
the radar signal may be corrected for the ionospheric
contamination. A technique using the
complex argument of the first-order mo Platform: |
Size: 615424 |
Author:sunrong |
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Description: 进行回波积累，我们可以进行相参积累和非相参积累，怎么来实现，还有如何进行比较？-Accumulation of the echo, we can be coherent and non-coherent integration, how to achieve, and how to compare? Platform: |
Size: 1024 |
Author:王曼 |
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Description: A novel constant false alarm rate(CFAR)detection algorithm is proposed in this paper．The
Biparameter CFAR detection is applicable tO Gaussian noise in non—coherent integration for radar dim target
detection algorithm．The paper analyzed the probability of false alarm in theory．Monte—Carlo simulations
demonstrate that the Biparameter CFAR processor has achieved about 5 dB SNR gains in detection performances
comparable to the conventional cell—averaging CFAR processor． Platform: |
Size: 210944 |
Author:hagood |
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Description: 多个脉冲积累后可以有效地提高信噪比，中频积累时要求信号间有严格的相位关系，即信号时相参的，所以称为相参积累。-Multiple pulse accumulation can effectively improve SNR, if integration requires strict phase relationship between signals, whereby the signal coherent, so called coherent accumulation. Platform: |
Size: 1024 |
Author:fengfeng |
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Description: 对于微弱信号检测算法中非相参积累以后近似服
从于高斯分布的噪声，都可以通过双参量估计恒虚警
检测器来实现恒虚警检测-Coherent integration for weak signal detection algorithm Central Africa approximately obey the Gaussian distribution of the noise by the two-parameter CFAR detector is estimated to achieve a constant false alarm rate (CFAR) Platform: |
Size: 1024 |
Author:周森山 |
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Description: 利用雷达方程，分析在相干积累和非相干积累脉冲数两种情况下SNR增益与积累脉冲数的关系，得出相应的结论图像。-Using the radar equation to analyze the relationship between the SNR gain in the case of coherent integration and non-coherent accumulated pulse number two with the accumulation of the number of pulses, the corresponding conclusions images. Platform: |
Size: 32768 |
Author:william |
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Description: 对雷达信号进行预处理。输入设定的LFM信号，进行数字正交解调以及匹配滤波最后是相参积累。从而得到LFM信号频谱图，解调后的频谱，想干积累输出等结果。
-The radar signal preprocessing. Input set of LFM signal, digital quadrature demodulation and matched filtering the last coherent integration. LFM signal spectrum, the demodulated spectrum accumulated wanted output results. Platform: |
Size: 3072 |
Author:wei |
Hits:
Description: 对雷达信号进行预处理。输入设定的LFM信号，进行数字正交解调以及匹配滤波最后是相参积累。从而得到LFM信号频谱图，解调后的频谱，想干积累输出等结果。
-The radar signal preprocessing. Input set of LFM signal, digital quadrature demodulation and matched filtering the last coherent integration. LFM signal spectrum, the demodulated spectrum accumulated wanted output results. Platform: |
Size: 3072 |
Author:wei |
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Description: 针对宽带高分辨雷达体制下的未知速度运动目标检测问题, 基于高分辨一维距离像提出一种新的非相干积累算法. 首先利用改进的双向维特比算法估计目标速度及强散射点位置, 提高了低信噪比下
的估计精度, 然后在强散射点周围选取待检测单元进行非相干积累, 进一步提升了检测性能. 两类飞机实测数据的多个实验结果表明, 当目标发生距离走动的情况下, 该算法性能相对传统的非相干积累算法有明显的提高.-For unknown broadband speed moving target detection problem under high resolution radar system, based on high resolution range profile propose a new non-coherent integration algorithm. Firstly, improved bidirectional Viterbi algorithm to estimate the target speed and strong scattering point, raise the estimation accuracy of multiple experiments under low SNR, then select points around the strong scattering detection unit to be non-coherent integration, to further enhance the detection performance. measured data show two types of aircraft, when the target occurrence walking distance Next, the algorithm performance compared to traditional non-coherent integration algorithm has been significantly improve Platform: |
Size: 435200 |
Author:江虹旭 |
Hits:
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