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In this paper, we focus on sparsity-based space-time adaptive processing (STAP) in airborne radar with compressive sampling both in Doppler and spatial domains. Compared with the uniform pluses repetition Frequency (UPRF) and uniform arrays (UA) radar, the designed radar transmits random pulse repetition interval pulses and receives the returns with random arrays, which reduces the number of pulses...
In this paper, motivated by the success of coprime array in the direction-of-arrival (DOA) estimation, we introduce the idea of coprime pulse repetition interval (PRI) into the space-time adaptive processing (STAP) airborne radar. Through transmitting and receiving the pulses with coprime PRI, we can reduce the transmitting energy and improve the capabilities of electronic counter-countermeasures...
In this paper, a novel method based-on Doppler compressive sampling for the sparsity-based space-time adaptive processing (STAP) is proposed. In our method, the radar transmits a small amount of pulses randomly extracted from the aperiodic pulse sequence. Then, we build the sparse model with Doppler compressive sampling, analyze the capability of solving the Doppler ambiguity, and generate the angle-Doppler...
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