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* enhance the signal to noise ratio SNR "[[SINR|signal-to-interference-plus-noise ratio (SINR)]]"
* track moving sources
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Array processing metrics are often assesed noisy environments, though this noise may be either spatially incoherent noise or other interfering signals following the same propgation physics. [[Estimation theory]] is an important and basic part of signal processing field, which used to deal with estimation problem in which the values of several parameters of the system should be estimated based on measured/empirical data that has a random component. As the number of applications increases, estimating temporal and spatial parameters become more important. Array processing emerged in the last few decades as an active area and was centered on the ability of using and combining data from different sensors (antennas) in order to deal with specific estimation task (spatial and temporal processing). In addition to the information that can be extracted from the collected data the framework uses the advantage prior knowledge about the geometry of the sensor array to perform the estimation task.
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