Designing Set of Binary Sequences and Space-Time Receive Filter for Moving Targets in Colocated MIMO Radar Systems

Joint Design of Colocated MIMO Radar Constant Envelope Waveform and Receive Filter to Reduce SINR Loss

“…The joint design focuses on suppressing the interference in different directions through the adaptive beamforming technique, giving full play to the advantages of the transmitter and the receive filter to process the interference, making the radar output SINR maximum. Since the objective function is usually a quadratic function, and the constraints imposed on the waveform are usually non-convex [ 1 , 2 , 3 , 5 , 7 , 11 , 16 , 17 , 24 , 30 , 31 , 32 , 33 , 34 ], it is difficult to solve the optimization problem [ 31 ]. Various methods [ 3 , 11 , 14 , 16 , 23 , 31 , 35 , 36 , 37 ] are used to solve the non-convex optimization problem.…”

“…Various methods [ 3 , 11 , 14 , 16 , 23 , 31 , 35 , 36 , 37 ] are used to solve the non-convex optimization problem. Feraidooni and Gharavian developed in [ 31 ] an algorithm for the joint design of a continuous/discrete [ 33 , 34 , 36 ] phase sequence and space-time receive filter to improve SINR, using the coordinate descent framework to deal with the constrained non-convex problem. Also, another joint design method is designed in [ 3 ].…”

“…However, in [ 14 , 19 , 20 , 23 , 24 , 29 ], the waveform optimization problem established adopts energy constraint, which cannot give full play to the amplifier’s maximum performance and reduce the output SINR. In [ 1 , 14 , 15 , 17 , 20 , 21 , 23 , 25 , 27 , 33 , 34 , 36 ], etc., pulse compression and ambiguity characteristics of the waveform are not taken into account, and the solution of [ 14 , 19 , 23 ] cannot guarantee global optimization. Therefore, the performance of the system can be improved through the design of the joint transmit waveform and receive filter based on semidefinite programming.…”

“…Moreover, the designed waveform usually imposes some constraints on the waveform in actual engineering applications, for example, constant envelope constraint [ 3 , 8 , 9 , 10 , 11 , 12 , 16 , 18 , 21 , 27 , 30 , 32 , 34 , 35 , 36 , 38 , 50 ], PAR constraint [ 8 , 9 , 19 , 35 , 47 ], similarity constraint [ 11 , 16 , 29 , 43 , 50 , 51 ] or sidelobe constraint [ 15 , 21 , 22 , 30 , 32 , 33 , 38 , 47 , 50 ]. The constant envelope constraint is more stringent than the PAR constraint because most radar transmitters use nonlinear power amplifiers, which usually work in a saturated state, and the amplitude of the waveform is required to be constant.…”

SINR improvement based on joint design of transmit covariance matrix and receive filter design for colocated MIMO radar

“…The aim of this paper is to focus on the waveform design for colocated MIMO radars. Waveform design is done by direct [6,[13][14][15][16] or indirect [4,[18][19][20] design. In direct design, each transmit waveform symbols are directly calculated and the output of the algorithm will be the final waveform.…”