Compressed sensing based distributed MIMO HF radar information processing

In order to improve the HF radar space resolution, the paper applies the distributed multi-carrier MIMO radar model to HF radar.The paper deduces the distributed MIMO radar echo expression and analyzes the interested region spatial resolution property by the wave-number theory.For the received antennas, it is difficult to synthetize the echo power from wide transmitters and due to the large calculation of 2D matched search, we mesh the interested region according to resolution ability, construct the velocity information overcomplete dictionary, apply the compressed sensing (CS) algorithm to the model, and solve scatter coefficients under different channel through the convex optimization theory.It is preferable to solve the distributed MIMO radar coherent combining before detection, meanwhile avoiding higher sidelobe, which is caused by discontinuous spatial frequency spectrum.