在图2.15b基于CPI的数据采集协议和图2.16的相关数值示例中，相邻脉冲之间的数据是相关的，而相邻CPI之间的数据是不相关的。
In the CPI-based datacollection protocol of Fig. 2.15b and the related numerical example of Fig.2.16, the data are correlated from one pulse to the next but are uncorrelatedfrom one CPI to the next.
然而，CPI内部的脉冲数据是可以相干积累的。
However, theintra-CPI data will likely be combined coherently.
相邻CPI之间可以进行非相干积累，例如将每个CPI相同距离-多普勒上的数据进行非相干积累。
The noncoherentcombination will occur from one CPI to the next, for instance by noncoherentlyintegrating the same range-Doppler bin from each CPI.
因为在本例中，实际非相干积累的测量值将是不相关的，所以文献中的检测分析将是“脉冲与脉冲”去相关的结果，而实际的相邻脉冲数据之间是高度相关的！
Because themeasurements that are actually integrated noncoherently will be uncorrelated inthis example, the appropriate detection analysis results from the literaturewould be those for “pulse-to-pulse” decorrelation even though theactual data are highly correlated from one pulse to the next!
另一个可能出现混淆的例子是，当一系列CPI对目标区域（通常称为驻留）进行短暂“观察”，而不是以常规模式对同一区域进行多次扫描时。
Another example ofthis confusion can arise when a series of CPIs represents a single short-term"look" at the target region, often called a dwell, rather than theresult of different passes over the same region from a regular scan pattern.
在前一种情况下，驻留的时间可能仍然很短，目标在相邻CPI之间可能仍然相关；而在后一种情况下，扫描的时间线可能更长，目标之间可能更容易互不相关。
In the former casethe elapsed time may still be short and the target may not decorrelate betweenCPIs, while in the latter the timeline would likely be longer and the targetwould be more likely to decorrelate.
If noncoherent integrationacross CPIs is performed, the data might be best modeled as"scan-to-scan" decorrelation in the former case because the datavalues from integrated are expected to be similar, while in the second casethey would be different and the appropriate mathematical results would be thosefor noncoherently integrating dissimilar values, namely the classical"pulse-to-pulse" case.（这句话貌似有点问题，暂时不予翻译了！）
这些术语的使用与检测性能分析是相关的。
These terminologyconcerns can become an issue in detection performance analysis.
许多已出版文献使用了“扫描与扫描”和“脉冲与脉冲”去相关的术语。
Many publishedresults use the “scan-to-scan” and "pulse-to-pulse"decorrelation terminology.
在解释现代雷达的相关文献时，要提醒读者仔细考虑测量数据之间的相关性，这些测量值将被非相干地积累以进行单次检测判决。
In interpreting radarliterature for modern radars, the reader is cautioned to consider carefully thecorrelation properties of the measurements that will be noncoherently combinedfor a single detection decision.
关键在于这些测量值是否被期望具有高度相关性，即几乎所有的随机变量，或者它们是否被期望具有高度不相关性（不同的随机变量）。
The critical point iswhether those measurements are expected to be highly correlated, i.e., allapproximately the same random variable, or whether they are expected to behighly decorrelated (different random variables).
如果测量值高度相关，则文献中“扫描到扫描”数学模型的结果适用。
If the measurementsare highly correlated, published results on "scan-to-scan"mathematical models are applicable.
如果测量值之间不相关，则“脉冲到脉冲”模型适用。
If they areuncorrelated, “pulse-to-pulse” models are applicable.
较新的文献不太可能使用“扫描到扫描”和“脉冲到脉冲”术语，因为随着时间的推移，这一问题已经得到了解决。
Newer literature isless likely to use the “scan-to-scan” and "pulse-to-pulse"terminology, obviating this problem over time.
目标起伏模型是描述RCS随角度、RF或其它重要参数变化的PDF与非相干组合测量的去相关模型的组合。
A target fluctuationmodel is a combination of a PDF describing the RCS variation with angle, RF, orother important parameters and a decorrelation model for measurements to becombined noncoherently.
可以使用为目标和感兴趣雷达的RCS分布建模的任何PDF。
Any PDF that modelsthe RCS distribution for the targets and radar of interest could be used.
示例包括表2.3中的任何PDF。
Examples include anyof the PDFs in Table 2.3.
对于人造目标，去相关模型通常被视为完全相关或完全去相关模型的极端情况之一。
For manmade targets,the decorrelation model is usually taken as one of the extremes of either thefully correlated or fully decorrelated models.
使用这两个模型进行的分析将产生检测性能的边界结论。
Analysis carried outusing these two models produces bounding results for detection performance.
实际上，非相干组合的测量值通常是部分相关的。
In reality, thenoncoherently combined measurements will often be partially correlated.
有时会给出用脉冲与脉冲之间相关系数或自相关函数指定的部分相关模型，尽管这在杂波建模中更常见。
Partial correlationmodels specified with a pulse-to-pulse correlation coefficient or anautocorrelation function are sometimes given, though this is more common in cluttermodeling.
——本文译自Mark A. Richards所著的《Fundamentals of Radar Signal Processing（Second edition）》
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