Aiming at the challenges of Doppler frequency shift, data bit transition, and wide spreading factor adaptability faced by DSSS signal acquisition technology in satellite-ground TT&C systems, this paper proposes a joint acquisition algorithm based on truncated PN code segmentation. By establishing a truncated PN code segmented parallel correlation architecture combined with an N-segment time-domain aggregation strategy, and implementing two-dimensional joint search through Fast Fourier Transform (FFT)-based frequency offset estimation, the algorithm effectively suppresses correlation peak attenuation caused by Doppler frequency shift (±800 kHz) and bit transitions. In terms of hardware architecture optimization, we analyze the sampling distribution patterns between truncated PN code segments and reconstruct parallel correlator resource allocation, reducing multiplier resource consumption by 73% compared to traditional dual-segment schemes. Simulation results demonstrate that under low spreading factor scenarios (SF=12), when truncation parameter N=32 is selected, the correlation peak-to-noise difference increases ninefold at chip SNR=-18 dB, achieving 89% detection probability (false alarm probability ≤2.5×10-5). FPGA implementation under identical conditions shows stable detection probability exceeding 85%. Featuring dynamically adjustable truncation parameters, this solution overcomes limitations of conventional fixed architectures in high-dynamic rate-switching scenarios, providing an engineering solution with high performance and low complexity for miniaturized spaceborne equipment and high-dynamic weak signal acquisition.