| Radar Automatic Target Recognition is to identify the unknown target from its radar echoed signatures. With the development of the technology, it has made it possible for the radar to perform not only the classical tasks of detection, location, searching and tracking. In recent years, radar automatic target recognition has received intensive attention.As we know, radar target recognition contains more uncertainty, its recognition performance is a function of radar system parameters, such as transmitted signal bandwidth, carrier frequency, etc. In addition, the channel response may be different between different radar receivers, which also will introduce a recognition performance reduction. In this paper, the effect of radar system parameters on HRRP recognition performance is analyzed and evaluated; on the base of these researches, the bandwidth of HRRP signal is expanded through a kind of theoretical algorithm, the results obtained are helpful for ATR radar design.This dissertation summarizes the feature-abstracting and classification algorithms in radar HRRP, and makes some researches on the parameters which influence the recognition performance. The paper is divided into three main parts: firstly, introduce the physics characteristic and pretreatment methods of radar HRRP, then summarize the feature-abstracting methods and classifier; secondly, discuss the parameters that influence the recognition performance in detail; at last, we study an algorithm—RELAX algorithm—which can expand the bandwidth of HRRP, from which the recognition performance can be improved obviously. |
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