Reconfigurable Linear Antenna Arrays for Beam-Pattern Matching in Collocated MIMO Radars

Abstract

Beam-pattern matching plays an important role in multiple-input multiple-output (MIMO) radars.In the vast majority of research done in this area, the aim is to find the covariance matrix of the waveforms fed into the transmit array. Also, reconfiguring a preset array of antennas (antenna selection) which means turning off some of the antennas in the array, is an effective technique to reach the desired beam-patterns, dynamically. In this paper, we introduce a novel multi-step method to implement this reconfiguration technique to a uniform linear array (ULA). In each step, by exploiting the relation between the diagonal elements of a covariance matrix resulted from solving a beam-pattern matching problem and the transmitted power of the antennas, we find the least important antenna of the array and turn it off accordingly. Then, we repeat this process until a predefined number of antennas remains.Our proposed method outperforms its counterparts in the literature in terms of beam-pattern matching as well as computational complexity, which makes it an appropriate method for real-time applications.Simulations used to show the validity and superiority of the proposed method.

Joint Antenna Selection and Waveform Design for Coexistence of MIMO Radar and Communications

“…It can be seen that ( 33) is intractable due to the non-convex PVPR constraint. To facilitate solving (33), we tactfully introduce a scalar µ to equivalently rewrite (33) as, min…”

“…To achieve low system overhead, a sparse array (SA) based on MIMO transceiver is further designed via antenna selection, as full MIMO arrays are expensive attributed to the front-end channel associated with each antenna and complicated digital signal processing [28][29][30]. In the recent studies [31][32][33][34], the authors investigated the joint optimization on the WCM and antenna position, which is formulated a NP-hard quartic boolean combinational optimization. The convex relation methods adopted there usually can not be guaranteed to be globally optimal.…”

“…3(b). The recent WCM-based SA design methods, such as dynamic programming (DP) in [32] and the preset array reconfigured method in [33] (simplified as DP-WCM and RM-WCM, respectively) are performed with 10 antennas selected for fair comparison without cross-correlation term. Meanwhile, a 10-antenna ULA based on optimal WCM design via semi-definite quadratic programming (SQP) method [13] is included for comparison.…”

Complexity Reduction in Beamforming of Uniform Array Antennas for MIMO Radars

“…In MIMO radars, waveform design plays a significant role in achieving desired advantages in numerous applications such as beamforming with integrated sidelobe levels (ISLs) constraints [12], antenna selection [13], spectrally compatible applications [14], [15] and etc. The collocated MIMO radar waveform design can be divided into two categories; one on the receiver side for achieving maximum output SINR [11], [16], [17] which can enhance the target detection performance and suppress signal-dependent interferences.…”