A method for strong clutter suppression in space-based early warning radar based on subarray-level multiple-input multiple-output(MIMO)is proposed to address the problem of severe distance blur and Doppler blur caused by the high-speed platform motion of space-based early warning radar
which leads to strong clutter background and reduced radar target detection performance. Initially
a subarray-level MIMO-based space-based radar model is constructed and the phase parameterization of the long-range maneuvering target is analyzed to determine the maximum phase parameter accumulation time when the target has linear distance migration and does not have Doppler frequency spread
ensuring the feasibility of long-time phase parameter accumulation. Subsequently
based on the characteristics of the MIMO radar's long dwell time
long-time accumulation is adopted to improve the Doppler resolution
reduce the clutter power of a distance-Doppler unit
lower the clutter-to-noise ratio(CNR)of the unit while ensuring the search efficiency
and evaluate the detection performance of the space-based radar by using the 3/5 criterion detection blind map. Ultimately
the signal-to-clutter noise ratio(SCNR)is improved in a strong clutter background
and the probability of target detection is increased. The experimental simulation shows that the proposed method can effectively reduce the clutter background compared with the phased array radar and can achieve a good detection effect under the single pulse repetition frequency. The detection performance is improved by about 20.48% compared with that of the phased array radar.
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