Self-Adaption Matched Filter and Bi-Directional Difference Method for Moving Target Detection
Shitao Zhu1, Xiaoming Chen2, Xuehan Pan3
1School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China. shitaozhu@xjtu.edu.cn.
Abstract:
In this paper, a self-adaption matched filter (SMF) and bi-directional difference techniques are proposed to detect a small moving target in urban environments. Firstly, the SMF technique is proposed to improve the signal-to-interference-noise ratio (SINR) by using the power factor. The properties of the transmitting signal, the target echoes and the interference and noise are considered during the power factor generation. The amplitude coherent accumulation technique that extracts the coherent amplitude information of echoes after being processed by the SMF, is used to improve the SINR based on multiple measurements. Finally, the bi-directional difference technique is proposed to distinguish the target echoes and the interference/noise. Simulations and experiments are conducted to validate and demonstrate that small moving targets can be detected with high probability using the proposed method in urban environments, even with just one measurement.
Related Concept Videos
Difference from Background: Limit of Detection
The LOD indicates the presence or absence...
Sign Test for Matched Pairs
To conduct the sign test, we first calculate the differences in...
Passive Filters
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
Active Filters
Microbial Growth Measurement: Direct Methods
Electric Potential and Potential Difference
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...


