Transmit Energy Focusing For Parameter Estimation in Transmit Beamspace Slow-Time MIMO Radar
Tingting Zhang, Feng Xu, Sergiy A. Vorobyov
Abstract
Recently, Parallel Factor-Direct (PARAFAC-Direct) method has been proposed for parameter estimation including velocity disambiguation for Doppler Division Multiple Access (DDMA) Multiple-Input Multiple-Output (MIMO) radar. However, DDMA MIMO radar spreads the overall transmit energy into the entire spatial region, and therefore, suffers from beam-shape loss that can limit the performance of PARAFAC-Direct method. To solve this problem, a Transmit Beamspace (TB) Slow-Time MIMO (ST-MIMO) approach is proposed that focuses the transmit energy within a desired spatial region. Unlike traditional DDMA MIMO radars, the Doppler spectrum is divided into more subbands than the number of transmit elements to reduce the mainlobe intervals between adjacent beams formed by DDMA modulation vectors. Then, the TB ST-MIMO beam set can be directed to the spatial region of interest via a proper selection of DDMA modulation vectors. Parameter estimation performance of TB ST-MIMO is improved as compared to conventional DDMA MIMO techniques. Simulations are conducted to validate the proposed method.
BibTeX
@inproceedings{icassp2023_transmitenergyfo,
title = {Transmit Energy Focusing For Parameter Estimation in Transmit Beamspace Slow-Time MIMO Radar},
author = {Tingting Zhang and Feng Xu and Sergiy A. Vorobyov},
booktitle = {ICASSP 2023},
year = {2023}
}