A Track-Before-Detect algorithm based on KA-HT

Track-Before-Detect (TBD) Method has been applied for detecting dim target in low SNR environments. This paper presents a new TBD method based on knowledge-aided Hough transform (KA-HT). Lots of researches which employ Hough transform for target detection focus on the data processing in two dimensional range-time spaces, while the KA-HT method focuses on the three dimensional spaces, which is the range-Doppler-frame space. The whole processing of 3D data space is divided into several parallel processing in 2D data space through Doppler division processing technique. What´s more, the method substitutes a point-slope form of HT with some useful prior information for the standard HT, which can avoid the problem of determining the optimum parameter space granularity and algorithm computation is largely reduced due to the use of prior knowledge. In the end, simulations experiments validate the suggested method.