This paper investigates intelligent reflecting surface (IRS) enabled non-line-of-sight (NLoS) wireless sensing, in which an IRS is dedicatedly deployed to assist access point (AP) sense a target at its NLoS region. It assumed that the AP equipped with multiple antennas and uniform linear array. We consider two types of models, namely extended targets, for aims estimate target's direction-of-arr...

The celebrated Feng-Rao bound estimates the minimum distance of codes defined by means of their parity check matrices. From the Feng-Rao bound it is clear how to improve a large family of codes by leaving out certain rows in their parity check matrices. In this paper we derive a simple lower bound on the minimum distance of codes defined by means of their generator matrices. From our bound it i...

In this letter, numerical algorithms for computing the marginal version of the Bayesian Cramér-Rao bound (M-BCRB) for jump Markov nonlinear systems and jump Markov linear Gaussian systems are proposed. Benchmark examples for both systems illustrate that the M-BCRB is tighter than three other recently proposed BCRBs. Index Terms Jump Markov nonlinear systems, Bayesian Cramér-Rao bound, particle ...

In this paper, we propose multi-input multi-output (MIMO) beamforming designs towards joint radar sensing and multi-user communications. We employ the Cram\'er-Rao bound (CRB) as a performance metric of target estimation, under both point extended scenarios. then minimizing CRB while guaranteeing pre-defined level signal-to-interference-plus-noise ratio (SINR) for each communication user. For s...

The posterior Cramér-Rao bound on the mean square error in tracking the bearing, bearing rate, and power level of a narrowband source is developed. The formulation uses a linear process model with additive noise and a general nonlinear measurement model, where the measurements are the sensor array data. The joint Bayesian Cramér-Rao bound on the state variables over the entire observation inter...