Long Time Pulse Compression Method Based on Coherent Integration
Baisen Liu, Ye Zhang, Wulin Zhang
Available Online April 2016.
- https://doi.org/10.2991/emim-16.2016.305How to use a DOI?
- MIMO radar; Coherent integration; Pulse compression; Signal separation
- MIMO radar signals emitted from the transmitting side are not the same, the signal received by the receiver is the sum of each emission signal?Therefore, and we need to separate the signal to waveform transmitted by MIMO radar at the receiving end. Adaptive pulse compression method based on iteration can effectively separate MIMO radar transmitting signal, however, this method is adaptive weighting the received signal, through several times of iteration computation, to obtain the best value, so that we can carry out pulse compression. Since the noise is random, each weighted value of the received signal is different. Therefore, we cannot carry out coherently accumulated pulse. To solve this problem, in this paper, we have established a model which MIMO radar receives signal through pulse coherent accumulation mode, and put forward a kind of pulse compression method based on linear constrained minimum variance. This method does not require multi-iterations and easy to calculate. In this way, we can carry out coherently accumulated pulse. The simulation results show that this method can effectively separate MIMO radar signal.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Baisen Liu AU - Ye Zhang AU - Wulin Zhang PY - 2016/04 DA - 2016/04 TI - Long Time Pulse Compression Method Based on Coherent Integration BT - 6th International Conference on Electronic, Mechanical, Information and Management Society PB - Atlantis Press SP - 1503 EP - 1509 SN - 2352-538X UR - https://doi.org/10.2991/emim-16.2016.305 DO - https://doi.org/10.2991/emim-16.2016.305 ID - Liu2016/04 ER -