Abstract:Multiple-input multiple-output (MIMO) could improve the data rate and bit error rate (BER) between the nodes of waterfowl monitoring network effectively. Orthogonal frequency division multiplexing with index modulation (OFDM-IM) was a recently proposed multicarrier transmission technology in wireless communication, which could combat the interference of the frequency selective fading caused by multipath propagation effectively and achieve better spectral efficiency and BER. By combining MIMO and OFDM-IM technologies, MIMO-OFDM-IM could improve the data rate and BER performance between the nodes of the waterfowl monitoring network effectively. An improved tree search based low-complexity Sequential Monte Carlo (SMC) detector was proposed for MIMO-OFDM-IM, which drew samples in subcarrier-wise for each subcarrier and could reduce the computational complexity considerably. The simulation results showed that the proposed SMC detector achieved near-optimal BER performance with linearly computational complexity.