Tracking Detection of SIAR Based on Multi-frame Correlation
Yuan Zhang · Electronic Science and Technology · 2013
In order to improve the detection range and small target detection probability of the SIAR(Synthetic Impulse and Antenna Radar),we reduce the threshold of signal processing system,resulting in a high probability of false alarm(usually 10-3).The conventional method fails to achieve track detection of the target,so we use the TBD.A TBD algorithm based on multi-frame correlation is introduced in this paper,which makes use of the target motion characteristics and the multi-frame data frame correlation processing to accumulate energy along the target track,thus improving the signal-to-noise ratio and achieving target track detection in the high false alarm environment.